Triple

T10528329
Position Surface form Disambiguated ID Type / Status
Subject Tavis Smiley E248365 entity
Predicate name P16 FINISHED
Object Tavis Smiley E248365 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: Tavis Smiley | Statement: [Tavis Smiley, name, Tavis Smiley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tavis Smiley
Context triple: [Tavis Smiley, name, Tavis Smiley]
  • A. Tavis Smiley chosen
    Tavis Smiley is an American talk show host, author, and political commentator known for his public affairs programs on television and radio.
  • B. Montel Williams
    Montel Williams is an American television personality and former talk show host best known for his long-running syndicated program "The Montel Williams Show."
  • C. Larry Wilmore
    Larry Wilmore is an American comedian, writer, producer, and television host known for his sharp political satire and work on shows like The Daily Show and The Nightly Show.
  • D. Tom Joyner
    Tom Joyner is an American radio host and philanthropist best known for his nationally syndicated "Tom Joyner Morning Show" and significant contributions to historically Black colleges and universities.
  • E. Marc Lamont Hill
    Marc Lamont Hill is an American academic, author, and television commentator known for his work on social justice, race, and politics.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f6f4a88190ae6e0cc0bcbff0c5 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e31350c8190a7493cdc33cc450a completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.