Triple

T5741873
Position Surface form Disambiguated ID Type / Status
Subject Florian Ballhaus E126632 entity
Predicate notableCollaboration P8554 FINISHED
Object David Frankel E141594 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 Frankel | Statement: [Florian Ballhaus, notableCollaboration, David Frankel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Frankel
Context triple: [Florian Ballhaus, notableCollaboration, David Frankel]
  • A. David Frankel chosen
    David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
  • B. David Fenkel
    David Fenkel is an American film executive and producer best known as a co-founder of the independent entertainment company A24.
  • C. Brad Silberling
    Brad Silberling is an American film and television director known for movies such as "City of Angels," "Casper," and "Lemony Snicket's A Series of Unfortunate Events."
  • D. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • E. Howard Gordon
    Howard Gordon is an American television writer and producer best known for his work on acclaimed series such as "24" and "Homeland."
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.