Triple

T8426511
Position Surface form Disambiguated ID Type / Status
Subject Simply the Best E199007 entity
Predicate producer P490 FINISHED
Object Dan Hartman E699235 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: Dan Hartman | Statement: [Simply the Best, producer, Dan Hartman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Hartman
Context triple: [Simply the Best, producer, Dan Hartman]
  • A. Dan Hartman chosen
    Dan Hartman was an American musician, singer, songwriter, and producer best known for his disco and pop hits in the 1970s and 1980s.
  • B. Allen Ludden
    Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
  • C. Steve Ross
    Steve Ross was an American businessman best known for building Warner Communications into a media powerhouse and serving as a key architect of what became Time Warner.
  • D. John Carson
    John Carson is a fictional character appearing in the film "The Miracle Woman."
  • E. Regis Philbin
    Regis Philbin was an American television personality and talk show host best known for his long-running morning shows and for hosting the game show "Who Wants to Be a Millionaire."
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a37e388190b2a7ab8e6966baac completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0364f294819091ef9f39429f3fb5 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.