Triple

T2586316
Position Surface form Disambiguated ID Type / Status
Subject Mort Goldman E58012 entity
Predicate child P120 FINISHED
Object Neil Goldman E66791 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: Neil Goldman | Statement: [Mort Goldman, child, Neil Goldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Goldman
Context triple: [Mort Goldman, child, Neil Goldman]
  • A. Neil Goldman chosen
    Neil Goldman is a recurring nerdy, socially awkward teenage character in the animated TV series "Family Guy," often portrayed as infatuated with Meg Griffin.
  • B. Donald Rosenfeld
    Donald Rosenfeld is an American film producer known for his work on acclaimed independent and art-house films, including collaborations with prominent directors and projects like "Effie Gray."
  • C. Marcus Goldman
    Marcus Goldman was a 19th-century German-born American investment banker best known as the founder of the global financial firm Goldman Sachs.
  • D. Nevin Steinberg
    Nevin Steinberg is a prominent American theatrical sound designer best known for his acclaimed work on the Broadway musical "Hamilton."
  • E. Theodore Shapiro
    Theodore Shapiro is an American film composer known for his work on numerous Hollywood comedies and dramas, including scores for major studio films.
  • 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_69b511f37d188190b5604645960e3f11 completed March 14, 2026, 7:44 a.m.
Created at: March 6, 2026, 9:49 p.m.