Triple

T21895771
Position Surface form Disambiguated ID Type / Status
Subject Tiki Barber E540674 entity
Predicate workedOn P3 FINISHED
Object The Today Show NE NERFINISHED

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: The Today Show | Statement: [Tiki Barber, workedOn, The Today Show]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Today Show
Context triple: [Tiki Barber, workedOn, The Today Show]
  • A. The Today Show chosen
    The Today Show is a long-running American morning television news and talk program on NBC featuring news, interviews, weather, and lifestyle segments.
  • B. Good Morning America
    Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
  • C. America This Morning
    America This Morning is an early-morning American news program on ABC that delivers national and international headlines, weather, and feature stories to viewers before the start of the regular broadcast day.
  • D. CBS Mornings
    CBS Mornings is a weekday morning news and talk program on CBS that features national and international news, interviews, and lifestyle segments.
  • E. The Tonight Show
    The Tonight Show is a long-running American late-night talk show featuring celebrity interviews, comedy sketches, and musical performances.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc6062c81908bf0aad7c6b99932 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.