Triple

T12043104
Position Surface form Disambiguated ID Type / Status
Subject She Wants Me E286712 entity
Predicate hasCastMember P2308 FINISHED
Object Charlie O'Connell E769475 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 O'Connell | Statement: [She Wants Me, hasCastMember, Charlie O'Connell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie O'Connell
Context triple: [She Wants Me, hasCastMember, Charlie O'Connell]
  • A. Charlie O’Connell chosen
    Charlie O’Connell is an American actor and television personality known for roles in film and TV as well as for appearing on reality shows like "The Bachelor."
  • B. Jay O’Connor
    Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
  • C. Johnny O'Brien
    Johnny O'Brien is a former standout college basketball player best known for his prolific scoring and rebounding as a forward/center at Seattle University in the early 1950s.
  • D. Jack Doolan
    Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
  • E. Eddie Cahill
    Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717c2d848190b702470e6bcead2d completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:47 p.m.