Triple

T4043688
Position Surface form Disambiguated ID Type / Status
Subject Drop Dead Diva E84011 entity
Predicate originalNetwork P2594 FINISHED
Object Lifetime E62053 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: Lifetime | Statement: [Drop Dead Diva, originalNetwork, Lifetime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lifetime
Context triple: [Drop Dead Diva, originalNetwork, Lifetime]
  • A. Lifetime chosen
    Lifetime is an American cable television network known for its original movies and series primarily targeting a female audience.
  • B. Live Forever
    "Live Forever" is a 1994 Britpop anthem by English rock band Oasis, celebrated for its uplifting melody and lyrics that helped define their early success and the sound of 1990s British rock.
  • C. Legacy
    Legacy is a U.S.-based public health organization best known for its national anti-smoking and tobacco control campaigns.
  • D. Forever
    "Forever" is a hit hip-hop single produced by Boi-1da, best known in its version featuring Drake, Kanye West, Lil Wayne, and Eminem.
  • E. Forever
    Forever is a romance-focused publishing imprint under the Hachette Book Group, known for releasing contemporary and genre romance titles.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5d759c8190b61fbbe94ffe2bf7 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5564fb54c81909f40ca1d6f1e521e completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.