Triple

T647581
Position Surface form Disambiguated ID Type / Status
Subject Clifton Collins Jr. E11274 entity
Predicate notableWork P4 FINISHED
Object Extract
Extract is a 2009 comedy film written and directed by Mike Judge that satirizes workplace and personal frustrations at a flavor-extract factory.
 E81056 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: Extract | Statement: [Clifton Collins Jr., notableWork, Extract]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Extract
Context triple: [Clifton Collins Jr., notableWork, Extract]
  • A. Grab
    Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
  • B. Exposure
    "Exposure" is a World War I poem by Wilfred Owen that vividly portrays the psychological and physical torment of soldiers enduring brutal trench conditions and the indifference of nature.
  • C. Ad extirpanda
    Ad extirpanda is a 1252 papal bull that authorized and regulated the use of torture by the Inquisition in the persecution of heretics.
  • D. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • E. EXS
    EXS is the ICAO airline designator used for Jet2.com, a British low-cost leisure airline based in the United Kingdom.
  • 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: Extract
Triple: [Clifton Collins Jr., notableWork, Extract]
Generated description
Extract is a 2009 comedy film written and directed by Mike Judge that satirizes workplace and personal frustrations at a flavor-extract factory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Extract
Target entity description: Extract is a 2009 comedy film written and directed by Mike Judge that satirizes workplace and personal frustrations at a flavor-extract factory.
  • A. Grab
    Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
  • B. Exposure
    "Exposure" is a World War I poem by Wilfred Owen that vividly portrays the psychological and physical torment of soldiers enduring brutal trench conditions and the indifference of nature.
  • C. Ad extirpanda
    Ad extirpanda is a 1252 papal bull that authorized and regulated the use of torture by the Inquisition in the persecution of heretics.
  • D. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • E. EXS
    EXS is the ICAO airline designator used for Jet2.com, a British low-cost leisure airline based in the United Kingdom.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1cb24481909d3b41a56b29dee9 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a580373e3c81909aa9ff50f3b1e781 completed March 2, 2026, 12:19 p.m.
NEDg Description generation batch_69a5833e10bc819091dba5bb5ec9ea85 completed March 2, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69a583a35678819087d440a05c7b636d completed March 2, 2026, 12:33 p.m.
Created at: March 1, 2026, 7:36 p.m.