Triple

T16811054
Position Surface form Disambiguated ID Type / Status
Subject Drop Dead Diva E408609 entity
Predicate producer P490 FINISHED
Object Osprey Productions E408609 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: Osprey Productions | Statement: [Drop Dead Diva, producer, Osprey Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osprey Productions
Context triple: [Drop Dead Diva, producer, Osprey Productions]
  • A. Osprey Productions chosen
    Osprey Productions is a television production company best known for producing the comedic legal drama series "Drop Dead Diva."
  • B. Osprey Publishing
    Osprey Publishing is a British publishing company best known for its illustrated military history books and detailed studies of warfare, uniforms, and equipment.
  • C. NATO Allied Land Publications
    NATO Allied Land Publications are official doctrinal manuals that define and standardize land warfare concepts, procedures, and tactics for NATO member armed forces.
  • D. Picador
    Picador is a British publishing imprint known for its literary fiction, quality non-fiction, and prize-winning contemporary authors.
  • E. Riverside Press
    Riverside Press was a prominent 19th- and early 20th-century American printing and publishing house based in Cambridge, Massachusetts, known for its high-quality book production.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b290d8e4819082880444b42ffa43 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.