Triple

T4283433
Position Surface form Disambiguated ID Type / Status
Subject Trevor Morris E97208 entity
Predicate collaboratedWith P435 FINISHED
Object Michael Hirst E322805 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 Hirst | Statement: [Trevor Morris, collaboratedWith, Michael Hirst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Hirst
Context triple: [Trevor Morris, collaboratedWith, Michael Hirst]
  • A. Michael Hirst chosen
    Michael Hirst is a British screenwriter and producer best known for creating the historical drama series "Vikings" and writing acclaimed historical films and television projects.
  • B. 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.
  • C. Thomas Eyre
    Thomas Eyre is a relatively obscure historical figure whose specific identity and achievements are not clearly distinguished in common reference sources.
  • D. Graham Yost
    Graham Yost is an American screenwriter, producer, and showrunner best known for creating the TV series "Justified" and writing the film "Speed."
  • E. James MacDonald
    James MacDonald was an American sound effects artist and voice actor for Disney, known for providing voices and innovative audio work in many classic animated 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503a84548190989a96d1a30d6ef7 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bec1a88190bd36ed6d48e1c94e completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.