Triple

T16671264
Position Surface form Disambiguated ID Type / Status
Subject Inside Job E405109 entity
Predicate producer P490 FINISHED
Object Mark Goldenberg E1119316 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: Mark Goldenberg | Statement: [Inside Job, producer, Mark Goldenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Goldenberg
Context triple: [Inside Job, producer, Mark Goldenberg]
  • A. Mark Goldenberg chosen
    Mark Goldenberg is an American guitarist, songwriter, and composer known for his session work and film score contributions.
  • B. Martin Goldstein
    Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
  • C. Michael Goldenberg
    Michael Goldenberg is an American screenwriter and playwright known for adapting major works such as the film version of "Harry Potter and the Order of the Phoenix."
  • D. Michael Goldstein
    Michael Goldstein is a relatively common personal name shared by multiple individuals across fields such as academia, business, and the arts, rather than referring to a single widely recognized public figure.
  • E. Keith Goldfarb
    Keith Goldfarb is a co-founder of Rhythm & Hues Studios, a prominent visual effects and animation company known for its work on major Hollywood 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca175088190a0435422e13278c2 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d449f708819095f83682fa03e3bf completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:18 a.m.