Triple

T21116770
Position Surface form Disambiguated ID Type / Status
Subject Yes Man (film) E520319 entity
Predicate title P38 FINISHED
Object Yes Man 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: Yes Man | Statement: [Yes Man (film), title, Yes Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yes Man
Context triple: [Yes Man (film), title, Yes Man]
  • A. Yes Man chosen
    Yes Man is a 2008 comedy film starring Jim Carrey as a man who challenges himself to say "yes" to everything, with Zooey Deschanel in a prominent supporting role.
  • B. Oh Yes
    "Oh Yes" is a song featured on Whitney Houston’s 1998 R&B/pop album *My Love Is Your Love*.
  • C. One Man
    One Man is a one-man stage play by Steven Berkoff that showcases his intense, physical performance style and darkly comic monologues.
  • D. One Man
    One Man is a solo album by British bassist and vocalist Mark King, best known as the frontman of the jazz-funk band Level 42.
  • E. I’m the Man
    "I’m the Man" is a 1987 EP by American thrash metal band Anthrax that helped pioneer the fusion of heavy metal and rap.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:55 p.m.