Triple

T12766331
Position Surface form Disambiguated ID Type / Status
Subject Carlsbad Cemetery, Carlsbad, New Mexico, United States E305133 entity
Predicate hasNotableBurial P196 FINISHED
Object Bruce Cabot E63264 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: Bruce Cabot | Statement: [Carlsbad Cemetery, Carlsbad, New Mexico, United States, hasNotableBurial, Bruce Cabot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Cabot
Context triple: [Carlsbad Cemetery, Carlsbad, New Mexico, United States, hasNotableBurial, Bruce Cabot]
  • A. Bruce Cabot chosen
    Bruce Cabot was an American actor best known for his leading role opposite Fay Wray in the classic 1933 adventure-horror film "King Kong."
  • B. Ben E. Cabell
    Ben E. Cabell was an American politician who served as mayor of Dallas, Texas, in the early 20th century.
  • C. Ben Cafferty
    Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
  • D. Paul Hackett
    Paul Hackett is a former U.S. Marine and Iraq War veteran best known for his high-profile 2005 special election campaign as a Democratic congressional candidate in Ohio.
  • E. Stephen Burbank
    Stephen Burbank is a prominent legal scholar and professor known for his expertise in civil procedure and complex litigation at the University of Pennsylvania Law School.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb735e481909f120f95fa68f4f1 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:28 p.m.