Triple

T19526373
Position Surface form Disambiguated ID Type / Status
Subject Ben Maddow E488527 entity
Predicate name P16 FINISHED
Object Ben Maddow 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: Ben Maddow | Statement: [Ben Maddow, name, Ben Maddow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Maddow
Context triple: [Ben Maddow, name, Ben Maddow]
  • A. Ben Maddow chosen
    Ben Maddow was an American screenwriter and documentary filmmaker known for his work on classic mid-20th-century films and socially conscious cinema.
  • B. Chris Matthews
    Chris Matthews is an American political commentator, author, and former host of the long-running MSNBC talk show "Hardball with Chris Matthews."
  • C. Lawrence O'Donnell
    Lawrence O'Donnell is an American television host, political commentator, and former political aide best known for hosting the MSNBC news and opinion program "The Last Word with Lawrence O'Donnell."
  • D. Gregg Wattenberg
    Gregg Wattenberg is an American songwriter and record producer known for his work with artists across pop and rock, including major hits for bands like Train and Five for Fighting.
  • E. Howard Beck
    Howard Beck is an American sports journalist best known for his in-depth coverage and analysis of the NBA for major outlets such as The New York Times, Bleacher Report, and Sports Illustrated.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363aeb8c8190be2bdd73e421af96 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.