Triple

T25444000
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Actor for Midnight Cowboy E637580 entity
Predicate performanceAs P163009 FINISHED
Object Joe Buck
Joe Buck is the fictional Texan hustler and naive protagonist of the 1969 film "Midnight Cowboy."
 E1679027 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: Joe Buck | Statement: [Academy Award for Best Actor for Midnight Cowboy, performanceAs, Joe Buck]
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: Joe Buck
Triple: [Academy Award for Best Actor for Midnight Cowboy, performanceAs, Joe Buck]
Generated description
Joe Buck is the fictional Texan hustler and naive protagonist of the 1969 film "Midnight Cowboy."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: performanceAs
Context triple: [Academy Award for Best Actor for Midnight Cowboy, performanceAs, Joe Buck]
  • A. performanceWith
    Indicates a relationship where two or more entities participate together in the same performance or staged presentation.
  • B. performance
    Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
  • C. performanceBasis
    Indicates that one entity’s performance is evaluated, determined, or justified on the basis of another specified factor, standard, or reference.
  • D. performanceOutcome
    Indicates the result, effect, or consequence produced by a particular performance or action.
  • E. performanceUse
    Indicates that something is used, employed, or utilized in the course of performing an action, task, or function.
  • F. None of above. chosen

Provenance (7 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089a8e21c81909930334f5ce11061 completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108a9e7aa48190baf0fad0511bd6f1 completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108b1c1e888190b3fe80f1da6a4be5 completed May 22, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6352df6148190bc10772cd40bd7b3 completed May 2, 2026, 5:32 p.m.
Created at: April 21, 2026, 2 p.m.