Triple

T3759902
Position Surface form Disambiguated ID Type / Status
Subject Dr. Doug Ross E82135 entity
Predicate createdBy P806 FINISHED
Object Michael Crichton E224766 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 Crichton | Statement: [Dr. Doug Ross, createdBy, Michael Crichton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Crichton
Context triple: [Dr. Doug Ross, createdBy, Michael Crichton]
  • A. Michael Crichton chosen
    Michael Crichton was an American author, screenwriter, and filmmaker best known for his science fiction and techno-thriller novels such as "Jurassic Park" and for creating the television series "ER."
  • B. Peter Benchley
    Peter Benchley was an American author and screenwriter best known for writing the novel "Jaws," which was adapted into the iconic 1975 film.
  • C. Dan Hartnett
    Dan Hartnett is an individual notable enough to be recognized as a bearer of the Hartnett surname, though specific widely known public details about him are not clearly established.
  • D. Daniel Keyes
    Daniel Keyes was an American author best known for his science fiction work "Flowers for Algernon," which explores themes of intelligence, identity, and human dignity.
  • E. Jack Asher
    Jack Asher was a British cinematographer best known for his atmospheric, color-rich work on classic Hammer horror films of the 1950s and 1960s.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc3d3f48190974cec104080949f completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503e6c48881909ac813e603175eb0 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:35 p.m.