Triple

T35821971
Position Surface form Disambiguated ID Type / Status
Subject The Actors E1035527 entity
Predicate featuresGangsterCharacter P181390 FINISHED
Object Barreller
Barreller is a gangster character appearing in the British television series "The Actors."
 E2156577 NE FINISHED

How this triple was built (3 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: Barreller | Statement: [The Actors, featuresGangsterCharacter, Barreller]
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: Barreller
Triple: [The Actors, featuresGangsterCharacter, Barreller]
Generated description
Barreller is a gangster character appearing in the British television series "The Actors."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: featuresGangsterCharacter
Context triple: [The Actors, featuresGangsterCharacter, Barreller]
  • A. featuresVillainActor
    Indicates that the subject includes or presents an actor in the role of a villain.
  • B. featuresAntagonistEntity
    Indicates that the subject includes or involves an entity serving as an antagonist in the context of a narrative, interaction, or scenario.
  • C. featuresMafia chosen
    Indicates that something includes or prominently involves the mafia as a significant element or subject.
  • D. featuresCharacterWith
    Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
  • E. featuresCharacterRole
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • F. None of above.

Provenance (6 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_69f76e185ffc8190880b3cdf51decd38 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38917ae93c8190b165d2d2684ad28f completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a389253d4f881909a40e2c14b4a6d4e completed June 22, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_6a38930372408190a387347aba837518 completed June 22, 2026, 1:42 a.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:06 p.m.