Triple

T16252267
Position Surface form Disambiguated ID Type / Status
Subject Hazel E394538 entity
Predicate loyalTo P1201 FINISHED
Object Doc E173049 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: Doc | Statement: [Hazel, loyalTo, Doc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doc
Context triple: [Hazel, loyalTo, Doc]
  • A. Doc chosen
    Doc is one of the seven dwarfs in Disney's "Snow White and the Seven Dwarfs," characterized as their kindly, bearded leader who often fumbles his words.
  • B. Doc
    Doc is the wise, retired race car and town doctor from the animated film "Cars," who mentors Lightning McQueen.
  • C. Doc
    Doc is a wisecracking, bearded survivor and medic in the post-apocalyptic TV series "Z Nation," known for his laid-back demeanor and unexpected resourcefulness.
  • D. Doc
    Doc is the famous nickname of Doc Holliday, the American Old West gambler, gunfighter, and associate of Wyatt Earp.
  • E. Doc
    Doc is the nickname of Dwight Gooden, a dominant Major League Baseball pitcher best known for his stellar early career 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24597b74481908fdb8175628a57a1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.