Triple

T1094075
Position Surface form Disambiguated ID Type / Status
Subject Harry Augustus Garfield E24231 entity
Predicate familyName P18 FINISHED
Object Garfield E93070 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: Garfield | Statement: [Harry Augustus Garfield, familyName, Garfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garfield
Context triple: [Harry Augustus Garfield, familyName, Garfield]
  • A. Garfield chosen
    Garfield is best known as the 20th president of the United States, whose term in 1881 was cut short by assassination.
  • B. Garfield: The Movie
    Garfield: The Movie is a 2004 live-action/CGI family comedy film adaptation of the popular comic strip about a lazy, lasagna-loving orange cat.
  • C. Glenn Quagmire
    Glenn Quagmire is a hypersexual, fast-talking airline pilot and neighbor of the Griffin family on the animated television series "Family Guy."
  • D. Elmer Fudd
    Elmer Fudd is a classic Looney Tunes cartoon character best known as the bumbling, soft-spoken hunter perpetually chasing Bugs Bunny.
  • E. Pepé Le Pew
    Pepé Le Pew is a romantic, overly confident skunk from the Looney Tunes cartoons, best known for his comedic, French-accented pursuit of love.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99d1e8c81909cf1178d68d38885 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c2c6b048190b603e9562dde65d0 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.