Triple

T3189780
Position Surface form Disambiguated ID Type / Status
Subject Neil Goldman E66791 entity
Predicate associatedWith P37 FINISHED
Object Mort 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: Mort Goldman | Statement: [Neil Goldman, associatedWith, Mort Goldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mort Goldman
Context triple: [Neil Goldman, associatedWith, Mort 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. Frank Goldberg
    Frank Goldberg is a businessman best known for owning the former American Basketball Association team the San Diego Sails.
  • C. William Goldenberg
    William Goldenberg is an American film editor known for his work on numerous acclaimed movies, including several collaborations with directors like Michael Mann and Ben Affleck.
  • D. Art Goldberg
    Art Goldberg was a prominent activist and organizer associated with the 1960s Free Speech Movement at the University of California, Berkeley.
  • E. Johnny Goldstein
    Johnny Goldstein is an Israeli music producer and songwriter known for his work on international pop and hip-hop tracks.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e67e948190afbd9cc6a3ade415 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c5ab7988190882df3b8198ad88a completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 3:07 p.m.