Triple

T12810755
Position Surface form Disambiguated ID Type / Status
Subject Meredith Vieira E306263 entity
Predicate coHosted P5275 FINISHED
Object Today E10952 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: Today | Statement: [Meredith Vieira, coHosted, Today]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Today
Context triple: [Meredith Vieira, coHosted, Today]
  • A. Today chosen
    Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
  • B. Today
    Today is BBC Radio 4’s leading early-morning news and current affairs programme, featuring in-depth interviews, reports, and analysis of national and international events.
  • C. Today
    "Today" is a popular 1960s folk song by The New Christy Minstrels, known for its gentle melody and romantic lyrics.
  • D. Today
    "Today" is a 1967 folk-rock ballad by Jefferson Airplane, known for its gentle melody and prominent place on their influential album "Surrealistic Pillow."
  • E. Today
    "Today" is a pioneering 1929 Soviet documentary film by Esfir Shub that exemplifies her innovative use of found footage to deliver sharp social and political commentary.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b95e4dc8190adc0bf9154971028 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.