Triple

T3759934
Position Surface form Disambiguated ID Type / Status
Subject Dr. Doug Ross E82135 entity
Predicate hasColleague P398 FINISHED
Object John Carter E387021 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: John Carter | Statement: [Dr. Doug Ross, hasColleague, John Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Carter
Context triple: [Dr. Doug Ross, hasColleague, John Carter]
  • A. John Carter
    John Carter is a film editor best known for his work on notable movies such as the 1995 drama "Waiting to Exhale."
  • B. John Carter
    John Carter is a 2012 science fiction action film, based on Edgar Rice Burroughs' Barsoom novels, that follows a Civil War veteran mysteriously transported to Mars and caught in a planetary conflict.
  • C. Dr. John Carter chosen
    Dr. John Carter is a central fictional physician on the long-running medical drama series "ER," known for his evolution from idealistic medical student to seasoned doctor.
  • D. Buck Rogers
    Buck Rogers is a pioneering science fiction hero who popularized space adventure in early 20th-century American comics, radio, film serials, and television.
  • E. Jack Burroughs
    Jack Burroughs is the central protagonist of the novel "The Four Seasons," around whom the story’s events and character developments revolve.
  • 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_69b4fb0fc6248190b2f4adf3fd2d73d9 completed March 14, 2026, 6:07 a.m.
Created at: March 8, 2026, 3:35 p.m.