Triple

T14070960
Position Surface form Disambiguated ID Type / Status
Subject Chris Taylor E338605 entity
Predicate portrayedBy P1507 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: [Chris Taylor, portrayedBy, Charlie Sheen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Sheen
Context triple: [Chris Taylor, portrayedBy, 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5aa828819098ef55a70a0decbc completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66cfe2c8190af8354316d4f4df9 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.