Triple

T10776509
Position Surface form Disambiguated ID Type / Status
Subject Sleeper E254210 entity
Predicate editor P1954 FINISHED
Object Ralph Rosenblum E307193 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: Ralph Rosenblum | Statement: [Sleeper, editor, Ralph Rosenblum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Rosenblum
Context triple: [Sleeper, editor, Ralph Rosenblum]
  • A. Ralph Rosenblum chosen
    Ralph Rosenblum was an American film editor best known for his influential work on landmark comedies and dramas, including several early Woody Allen films.
  • B. Stephen Blauner
    Stephen Blauner was an American television and film producer best known as a co-founder of the company behind the pop group and TV series "The Monkees."
  • C. Philip Hauge Abelson
    Philip Hauge Abelson was an American physicist, nuclear scientist, and science administrator known for co-discovering neptunium and for his influential leadership in U.S. scientific research and policy.
  • D. Philip Brenner
    Philip Brenner is a scholar and author known for his work on U.S. foreign policy and Latin American studies, often collaborating with historian James G. Blight.
  • E. Walter Seltzer
    Walter Seltzer was an American film producer known for his work on science fiction and genre films in the mid-20th century.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329d8c908190bddad40685133ea1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f12f646ec88190ab4745c52798b599 completed April 28, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:16 p.m.