Triple

T14508337
Position Surface form Disambiguated ID Type / Status
Subject Alison Ellwood E340326 entity
Predicate notableWork P4 FINISHED
Object CNN’s The 2000s E10223 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: CNN’s The 2000s | Statement: [Alison Ellwood, notableWork, CNN’s The 2000s]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN’s The 2000s
Context triple: [Alison Ellwood, notableWork, CNN’s The 2000s]
  • A. Cable News Network
    Cable News Network (CNN) is a major American cable and satellite television news channel known for pioneering 24-hour television news coverage worldwide.
  • B. CNN chosen
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • C. C‑SPAN
    C‑SPAN is an American public service cable network best known for its uninterrupted, gavel-to-gavel coverage of U.S. government proceedings and public affairs programming.
  • D. CBS News
    CBS News is a major American television and digital news division known for producing national and international news programs and journalism for the CBS network.
  • E. NBC News
    NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e40e44819084f323f8f9982b75 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da26a308190bf86ed1edbe8d57e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.