Triple

T2173410
Position Surface form Disambiguated ID Type / Status
Subject Production Code Administration E48473 entity
Predicate alsoKnownAs P39 FINISHED
Object PCA
PCA was the abbreviation for the Production Code Administration, the Hollywood industry office that enforced the Motion Picture Production Code (Hays Code) governing film content from the 1930s to the late 1960s.
E243114 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PCA | Statement: [Production Code Administration, alsoKnownAs, PCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PCA
Context triple: [Production Code Administration, alsoKnownAs, PCA]
  • A. PCA
    PCA is a conservative evangelical Presbyterian denomination in the United States known for its adherence to Reformed theology and Presbyterian church governance.
  • B. PCA
    PCA (Principal Component Analysis) in scikit-learn is a dimensionality reduction technique that transforms high-dimensional data into a smaller set of uncorrelated components capturing the most variance.
  • C. PCA
    The PCA is an intergovernmental organization based in The Hague that facilitates arbitration and other forms of dispute resolution between states, state entities, intergovernmental organizations, and private parties.
  • D. Fisher's linear discriminant
    Fisher's linear discriminant is a classic statistical technique for dimensionality reduction and classification that projects data onto a line to maximize separation between classes.
  • E. SVD
    SVD is the abbreviation for the Special Victims Division, a specialized police unit that investigates sensitive crimes such as sexual offenses and crimes against vulnerable victims.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PCA
Triple: [Production Code Administration, alsoKnownAs, PCA]
Generated description
PCA was the abbreviation for the Production Code Administration, the Hollywood industry office that enforced the Motion Picture Production Code (Hays Code) governing film content from the 1930s to the late 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PCA
Target entity description: PCA was the abbreviation for the Production Code Administration, the Hollywood industry office that enforced the Motion Picture Production Code (Hays Code) governing film content from the 1930s to the late 1960s.
  • A. PCA
    PCA (Principal Component Analysis) in scikit-learn is a dimensionality reduction technique that transforms high-dimensional data into a smaller set of uncorrelated components capturing the most variance.
  • B. PCA
    The PCA is an intergovernmental organization based in The Hague that facilitates arbitration and other forms of dispute resolution between states, state entities, intergovernmental organizations, and private parties.
  • C. PCA
    PCA is a conservative evangelical Presbyterian denomination in the United States known for its adherence to Reformed theology and Presbyterian church governance.
  • D. Fisher's linear discriminant
    Fisher's linear discriminant is a classic statistical technique for dimensionality reduction and classification that projects data onto a line to maximize separation between classes.
  • E. SVD
    SVD is the abbreviation for the Special Victims Division, a specialized police unit that investigates sensitive crimes such as sexual offenses and crimes against vulnerable victims.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbecb97a48190834e3e536184bbd1 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9c61448190930777bcf2028882 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e1ea6108190b22ead618d620613 completed March 9, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ea7909c8190a93d87a5d07b84d4 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.