Triple

T15914851
Position Surface form Disambiguated ID Type / Status
Subject Jake Johnson E385942 entity
Predicate familyName P18 FINISHED
Object Weinberger E750442 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: Weinberger | Statement: [Jake Johnson, familyName, Weinberger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinberger
Context triple: [Jake Johnson, familyName, Weinberger]
  • A. Weinberger chosen
    Weinberger is a German-origin surname most notably associated with Caspar Weinberger, a former U.S. Secretary of Defense.
  • B. Weinberger
    Weinberger is a music publishing company known for issuing classical works, including compositions by major Romantic-era composers.
  • C. Ed. Weinberger
    Ed. Weinberger is an American television producer and writer best known for his work on influential sitcoms such as The Mary Tyler Moore Show, Taxi, and The Cosby Show.
  • D. Gelbard
    Gelbard is the petitioner in the U.S. Supreme Court case Gelbard v. United States, which addressed issues related to grand jury proceedings and the use of illegally obtained evidence.
  • E. Isenhower
    Isenhower is a surname that is a variant or related form of the more widely known surname Eisenhower.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1566216d481908dd6e3acaa26fd45 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05b15e8819083b67afa52f46283 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.