Triple

T22246810
Position Surface form Disambiguated ID Type / Status
Subject Danny Masterson E549864 entity
Predicate notableWork P4 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: [Danny Masterson, notableWork, Yes Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yes Man
Context triple: [Danny Masterson, notableWork, 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. Yes Man
    Yes Man is a cheerful, reprogrammed Securitron AI in Fallout: New Vegas that enables the player to pursue an independent path to control New Vegas.
  • C. A Man
    "A Man" is a song by Alanis Morissette from her 2002 album *Under Rug Swept*, reflecting her characteristic introspective and emotionally charged songwriting style.
  • D. Oh Yes
    "Oh Yes" is a song featured on Whitney Houston’s 1998 R&B/pop album *My Love Is Your Love*.
  • E. One Man
    One Man is a one-man stage play by Steven Berkoff that showcases his intense, physical performance style and darkly comic monologues.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13218d1f88190b64b7f301328fa98 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.