Triple

T2658265
Position Surface form Disambiguated ID Type / Status
Subject Blood Diamond E54665 entity
Predicate writer P1360 FINISHED
Object Charles Leavitt E342042 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: Charles Leavitt | Statement: [Blood Diamond, writer, Charles Leavitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Leavitt
Context triple: [Blood Diamond, writer, Charles Leavitt]
  • A. Charles Leavitt chosen
    Charles Leavitt is an American screenwriter best known for writing the screenplay for the film "Blood Diamond."
  • B. Daniel Lothrop
    Daniel Lothrop was a 19th-century American publisher best known for founding the D. Lothrop Company, which specialized in children's and religious literature.
  • C. Charles Stillman
    Charles Stillman was an American labor leader and educator best known for helping to establish the American Federation of Teachers as a national teachers’ union.
  • D. Arthur Winslow
    Arthur Winslow is the principled Edwardian father in Terence Rattigan’s play "The Winslow Boy," who risks his family’s security to clear his son’s name.
  • E. Daniel P. Hanley
    Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94dcaa48190aec625f68ce61a02 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8082c44819098427e0b836d8518 completed March 12, 2026, 4:21 p.m.
Created at: March 6, 2026, 9:53 p.m.