Triple

T6300071
Position Surface form Disambiguated ID Type / Status
Subject Lee Tracy E141229 entity
Predicate notableWork P4 FINISHED
Object Dr. X E25779 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: Dr. X | Statement: [Lee Tracy, notableWork, Dr. X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. X
Context triple: [Lee Tracy, notableWork, Dr. X]
  • A. Doctor X chosen
    Doctor X is a 1932 pre-Code horror mystery film noted for its early use of two-color Technicolor and starring Fay Wray and Lionel Atwill.
  • B. Doctor X
    Doctor X is the superhero alias of Dr. Jerry Xavier, a character typically portrayed as a brilliant scientist who uses advanced technology and intellect to combat threats.
  • C. Doctor Mid-Nite
    Doctor Mid-Nite is a DC Comics superhero known for his enhanced night vision, reliance on blackout bombs, and long-standing membership in the Justice Society of America.
  • D. 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.
  • E. Kim Greist
    Kim Greist is an American actress best known for her role as Jill Layton in Terry Gilliam's dystopian film "Brazil" and for appearances in several other 1980s and 1990s movies and television shows.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645a7e048190af7a609fc74b876a completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e427de4481909f1cad8fae93bc42 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:27 p.m.