Triple

T9570825
Position Surface form Disambiguated ID Type / Status
Subject Jay Weinberg E230911 entity
Predicate familyName P18 FINISHED
Object Weinberg E140687 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: Weinberg | Statement: [Jay Weinberg, familyName, Weinberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinberg
Context triple: [Jay Weinberg, familyName, Weinberg]
  • A. Weinberg chosen
    Weinberg is a surname most prominently associated with Steven Weinberg, the Nobel Prize–winning theoretical physicist known for his work on the unification of fundamental forces.
  • B. Weissmann
    Weissmann is a surname most notably associated with Franz Weissmann, a prominent Brazilian sculptor of Austrian origin known for his geometric abstract works.
  • C. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • D. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • E. Wertheimer
    Wertheimer is a surname most notably associated with Max Wertheimer, a founding figure of Gestalt psychology.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998ab5948190be78db4eed7825a0 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152ba8f8081908b11c3c098e7e5f0 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.