Triple

T10216287
Position Surface form Disambiguated ID Type / Status
Subject Elie Docter E242449 entity
Predicate hasFamilyName P18 FINISHED
Object Docter E237562 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: Docter | Statement: [Elie Docter, hasFamilyName, Docter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Docter
Context triple: [Elie Docter, hasFamilyName, Docter]
  • A. Docter chosen
    Docter is the surname of Pete Docter, the acclaimed American animator, director, and key creative figure at Pixar Animation Studios.
  • B. Doctor Doctor
    Doctor Doctor is an Australian television drama series centered on a charismatic but troubled heart surgeon who is forced to return to practice in his rural hometown.
  • C. Doctor
    Doctor is a 2021 Tamil-language black comedy crime film starring Sivakarthikeyan, known for its dark humor, ensemble cast, and distinctive deadpan performances.
  • D. Doctores
    Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
  • E. Dr. K
    Dr. K is the nickname of Dwight Gooden, a dominant Major League Baseball pitcher best known for his overpowering strikeout ability with the New York Mets in the 1980s.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa2894d0819095704449ecc2db6c completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a804e8748190b4ebcfa9a0bb889f completed April 8, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:05 a.m.