Triple

T2586299
Position Surface form Disambiguated ID Type / Status
Subject Mort Goldman E58012 entity
Predicate fullName P16 FINISHED
Object Morton Goldman E58012 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: Morton Goldman | Statement: [Mort Goldman, fullName, Morton Goldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morton Goldman
Context triple: [Mort Goldman, fullName, Morton Goldman]
  • A. Mort Goldman chosen
    Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
  • B. Neil Goldman
    Neil Goldman is a recurring nerdy, socially awkward teenage character in the animated TV series "Family Guy," often portrayed as infatuated with Meg Griffin.
  • C. Frank Goldberg
    Frank Goldberg is a businessman best known for owning the former American Basketball Association team the San Diego Sails.
  • D. Avram Goldberg
    Avram Goldberg is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Goldberg.
  • E. Irving Brecher
    Irving Brecher was an American screenwriter best known for his work on Marx Brothers comedies and classic Hollywood films of the 1930s and 1940s.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3f6f6ac8190abff7b8b6ff3c023 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69b503cf9f8881908dc371d5acb952cf completed March 14, 2026, 6:44 a.m.
Created at: March 6, 2026, 9:49 p.m.