Triple

T15907964
Position Surface form Disambiguated ID Type / Status
Subject 61* E385769 entity
Predicate editor P1954 FINISHED
Object David Rosenbloom NE NERFINISHED

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: David Rosenbloom | Statement: [61*, editor, David Rosenbloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Rosenbloom
Context triple: [61*, editor, David Rosenbloom]
  • A. David Rosenbloom chosen
    David Rosenbloom is an editor and scholar known for his work on the book "Best Seller."
  • B. David Rosenbloom
    David Rosenbloom is a film editor known for his work on major Hollywood productions, including the science fiction movie "Transcendence."
  • C. Steven Rosenblum
    Steven Rosenblum is a film editor best known for his frequent collaborations with director Edward Zwick on movies such as "Blood Diamond," "Glory," and "The Last Samurai."
  • D. Ken Rosenberg
    Ken Rosenberg is a neurotic, fast-talking criminal lawyer and associate of the protagonist in the Grand Theft Auto series, most prominently featured in Vice City.
  • E. Daniel Blumberg
    Daniel Blumberg is a British musician and composer known for his experimental work in indie rock and film scores.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
Created at: April 10, 2026, 4:52 a.m.