Triple

T13602904
Position Surface form Disambiguated ID Type / Status
Subject Meet Joe Black E324987 entity
Predicate screenwriter P2831 FINISHED
Object Bo Goldman E181604 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: Bo Goldman | Statement: [Meet Joe Black, screenwriter, Bo Goldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo Goldman
Context triple: [Meet Joe Black, screenwriter, Bo Goldman]
  • A. Bo Goldman chosen
    Bo Goldman was an acclaimed American screenwriter best known for his Oscar-winning work on films such as "One Flew Over the Cuckoo's Nest" and "Melvin and Howard."
  • B. James Goldman
    James Goldman was an American playwright and screenwriter best known for his historical drama works, including the acclaimed film adaptation of "The Lion in Winter."
  • C. William Goldman
    William Goldman was an acclaimed American novelist and screenwriter known for works such as "Butch Cassidy and the Sundance Kid" and "The Princess Bride."
  • D. Michael Korda
    Michael Korda is a British-born American editor and writer best known for his long tenure as editor-in-chief at Simon & Schuster and for his popular biographies and memoirs.
  • E. Gary Goldman
    Gary Goldman is an American screenwriter best known for his work on major science fiction and action films, including the 1990 movie "Total Recall."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942c7f948190a62a8d2f69262ef3 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:49 p.m.