Triple

T9789346
Position Surface form Disambiguated ID Type / Status
Subject Young Guns E237567 entity
Predicate starredActor P5563 FINISHED
Object Charlie Sheen E149569 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: Charlie Sheen | Statement: [Young Guns, starredActor, Charlie Sheen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Sheen
Context triple: [Young Guns, starredActor, Charlie Sheen]
  • A. Charlie Sheen chosen
    Charlie Sheen is an American actor best known for his roles in films like "Platoon" and the TV sitcom "Two and a Half Men," as well as his highly publicized personal life.
  • B. Denis Leary
    Denis Leary is an American actor and comedian known for his acerbic stand-up style and roles in projects like the TV series "Rescue Me" and the "Ice Age" film franchise.
  • C. Sheen
    Sheen is a historic area in southwest London, England, known for its royal connections and the former site of Sheen Palace.
  • D. Chevy Chase
    Chevy Chase is an American comedian and actor best known for his work on "Saturday Night Live" and the "National Lampoon's Vacation" film series.
  • E. Nick Swardson
    Nick Swardson is an American comedian, actor, and writer known for his offbeat characters and frequent collaborations with Adam Sandler in various comedy films and TV shows.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.