Triple

T13778000
Position Surface form Disambiguated ID Type / Status
Subject Brian Goldner E331060 entity
Predicate familyName P18 FINISHED
Object Goldner E664875 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: Goldner | Statement: [Brian Goldner, familyName, Goldner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldner
Context triple: [Brian Goldner, familyName, Goldner]
  • A. Goldner chosen
    Goldner is a surname associated with individuals such as the Austrian-born American composer and conductor Ernest Gold.
  • B. Goldmann
    Goldmann is a surname of German origin borne by various notable individuals across fields such as philosophy, publishing, and politics.
  • C. Goldstein
    Goldstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • D. Goldburg
    Goldburg is a surname variant of Goldberg, typically of Ashkenazi Jewish origin.
  • E. Goldone
    Goldone is a minor Italian watercourse that serves as a left-bank tributary of the Mincio River.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0239cbfc81909064ac2457fdfff5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07460c081908b3836a3ec382961 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:10 p.m.