Triple

T10494475
Position Surface form Disambiguated ID Type / Status
Subject Garden State E247498 entity
Predicate producer P490 FINISHED
Object Dan Halsted E704997 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: Dan Halsted | Statement: [Garden State, producer, Dan Halsted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Halsted
Context triple: [Garden State, producer, Dan Halsted]
  • A. Dan Halsted chosen
    Dan Halsted is a film producer known for his work on major Hollywood projects, including the sports drama "Any Given Sunday."
  • B. John W. Harvey
    John W. Harvey is an astronomer recognized for his significant contributions to solar physics and helioseismology, for which he received the prestigious George Ellery Hale Prize.
  • C. James Addison Halsted
    James Addison Halsted was the third husband of Anna Roosevelt Halsted, the daughter of U.S. President Franklin D. Roosevelt and Eleanor Roosevelt.
  • D. William Halstead
    William Halstead was a 19th-century American politician who served multiple terms as a U.S. Representative from New Jersey.
  • E. George Kassabaum
    George Kassabaum was an American architect and co-founder of the global design and architecture firm HOK.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcaeb6088190829b6c26eb1de7d5 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.