Triple

T8431590
Position Surface form Disambiguated ID Type / Status
Subject The Water Man E199125 entity
Predicate editedBy P1954 FINISHED
Object David Rosenbloom E389035 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: David Rosenbloom | Statement: [The Water Man, editedBy, David Rosenbloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Rosenbloom
Context triple: [The Water Man, editedBy, David Rosenbloom]
  • A. David Rosenbloom chosen
    David Rosenbloom is a film editor known for his work on major Hollywood productions, including the science fiction movie "Transcendence."
  • B. 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."
  • C. Dave Rosenberg
    Dave Rosenberg is a technology entrepreneur best known as a co-founder of MuleSoft, a leading integration and API management platform company.
  • D. Mark Rosenthal
    Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
  • E. Steven Fierberg
    Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfeace262881909dedeb1a07e95279 completed April 3, 2026, 4:29 p.m.
Created at: March 30, 2026, 6:07 p.m.