Triple

T6557861
Position Surface form Disambiguated ID Type / Status
Subject Murphy Cooper E152496 entity
Predicate sibling P363 FINISHED
Object Tom Cooper E143039 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: Tom Cooper | Statement: [Murphy Cooper, sibling, Tom Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Cooper
Context triple: [Murphy Cooper, sibling, Tom Cooper]
  • A. Tom Cooper chosen
    Tom Cooper is the young son of protagonist Joseph Cooper in the science fiction film "Interstellar," representing the grounded, agrarian side of humanity’s struggle to survive on a dying Earth.
  • B. Bill Mitchell
    Bill Mitchell was a prominent American automobile designer and General Motors styling chief known for shaping many iconic mid-20th-century cars.
  • C. John Hewson
    John Hewson is an Australian economist and former politician best known for leading the Liberal Party and serving as Leader of the Opposition in the early 1990s.
  • D. Ian Simpson
    Ian Simpson is a British architect best known for designing prominent contemporary buildings in Manchester, including the landmark Beetham Tower.
  • E. Steve Abbott
    Steve Abbott is a British film producer best known for his work on major comedies, including collaborations with the Monty Python team.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1eb0888190a67b850ac2bca79c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8bae88819089cff70fa1101a39 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:52 p.m.