Triple

T5101273
Position Surface form Disambiguated ID Type / Status
Subject CODA E114984 entity
Predicate stars P1956 FINISHED
Object Troy Kotsur E423983 NE FINISHED

How this triple was built (2 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: Troy Kotsur | Statement: [CODA, stars, Troy Kotsur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troy Kotsur
Context triple: [CODA, stars, Troy Kotsur]
  • A. Troy Kotsur chosen
    Troy Kotsur is an American deaf actor best known for his Academy Award–winning performance in the film "CODA."
  • B. Orson Cox
    Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
  • C. Pablo Schreiber
    Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
  • D. William Jackson Harper
    William Jackson Harper is an American actor best known for his role as Chidi Anagonye on the television series "The Good Place."
  • E. Caleb Landry Jones
    Caleb Landry Jones is an American actor and musician known for his intense, often unsettling performances in films such as "Get Out," "Three Billboards Outside Ebbing, Missouri," and "Nitram."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8d24388190882b9933a2a798c4 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.