Triple

T12424964
Position Surface form Disambiguated ID Type / Status
Subject Point Blank E296872 entity
Predicate editedBy P1954 FINISHED
Object Henry Berman E187217 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: Henry Berman | Statement: [Point Blank, editedBy, Henry Berman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Berman
Context triple: [Point Blank, editedBy, Henry Berman]
  • A. Henry Berman chosen
    Henry Berman was an American film editor and producer known for his work on numerous classic Hollywood films.
  • B. Allard K. Lowenstein
    Allard K. Lowenstein was an American politician, civil rights activist, and leader of the anti–Vietnam War movement who served as a U.S. Congressman from New York.
  • C. Howard E. Tatel
    Howard E. Tatel was an American radio astronomer after whom the 85-foot Howard E. Tatel Radio Telescope at the National Radio Astronomy Observatory was named.
  • D. Stanley Rosenblum
    Stanley Rosenblum was a film editor best known for his work on major Hollywood productions, including the boxing sequel "Rocky II."
  • E. James A. Schiff
    James A. Schiff is a literary scholar and critic known for his work on contemporary American fiction and authors such as John Updike.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0265fc81909a6288d11b78c2f9 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.