Triple

T15897702
Position Surface form Disambiguated ID Type / Status
Subject Eric Esrailian E385503 entity
Predicate collaboratedWith P435 FINISHED
Object Terry George E353961 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: Terry George | Statement: [Eric Esrailian, collaboratedWith, Terry George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry George
Context triple: [Eric Esrailian, collaboratedWith, Terry George]
  • A. Terry George chosen
    Terry George is an Irish filmmaker and screenwriter known for directing and writing socially conscious dramas such as "In the Name of the Father," "Hotel Rwanda," and "In the Name of the Father."
  • B. Alan Parker
    Alan Parker is a British composer and guitarist known for his prolific session work and film and television scores.
  • C. Alan Parker
    Alan Parker was a renowned British film director, producer, and screenwriter known for acclaimed works such as "Midnight Express," "Fame," and "Mississippi Burning."
  • D. Ron Winston
    Ron Winston was a television director best known for his work on classic anthology series such as The Twilight Zone.
  • E. Hal Gibney
    Hal Gibney was an American radio and television announcer best known for his work on the crime drama series "Dragnet."
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563b0e4c8190b338672dfb122665 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04d4d1c819091d9b3357ca0deca completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.