Triple

T3859986
Position Surface form Disambiguated ID Type / Status
Subject The Sentinel E90110 entity
Predicate director P255 FINISHED
Object Michael Winner E167698 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: Michael Winner | Statement: [The Sentinel, director, Michael Winner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Winner
Context triple: [The Sentinel, director, Michael Winner]
  • A. Michael Winner chosen
    Michael Winner was a British film director and producer best known for directing the "Death Wish" series starring Charles Bronson.
  • B. Tony Richardson
    Tony Richardson was a British film and theatre director associated with the Free Cinema movement and known for influential works such as "Tom Jones" and "The Loneliness of the Long Distance Runner."
  • C. Joe Eszterhas
    Joe Eszterhas is a Hungarian-American screenwriter best known for his provocative, high-profile Hollywood thrillers of the late 20th century.
  • D. Mark Robson
    Mark Robson was a Canadian-born film editor-turned-director known for his work in Hollywood on acclaimed films from the 1940s through the 1960s.
  • E. Bruce Gilliat
    Bruce Gilliat is an internet entrepreneur best known as the co-founder of Alexa Internet, a pioneering web traffic analysis and ranking service.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512348fe88190b5ae942809732b76 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.