Triple

T4709988
Position Surface form Disambiguated ID Type / Status
Subject The Bag Man E104484 entity
Predicate writer P1360 FINISHED
Object David Grovic E464806 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: David Grovic | Statement: [The Bag Man, writer, David Grovic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Grovic
Context triple: [The Bag Man, writer, David Grovic]
  • A. David Grovic chosen
    David Grovic is a film director best known for helming the crime thriller "The Bag Man" starring John Cusack and Robert De Niro.
  • B. David Giler
    David Giler was an American screenwriter and film producer best known for his long-running involvement with the Alien franchise and his work at Brandywine Productions.
  • C. Peter Medak
    Peter Medak is a Hungarian-born British film and television director known for works such as the crime biopic "The Krays" and the horror classic "The Changeling."
  • D. Jack Zivic
    Jack Zivic was an American professional boxer active in the early 20th century, known as one of the fighting Zivic brothers from Pittsburgh.
  • E. John Miljan
    John Miljan was an American film actor known for his prolific career in early Hollywood, often portraying suave villains and authority figures in silent and sound films.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ee712c81908da60aa0df58efe0 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39e6428c81909be9bdb314993b1e completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:17 p.m.