Triple

T14813093
Position Surface form Disambiguated ID Type / Status
Subject Nell Jones E348234 entity
Predicate worksWith P398 FINISHED
Object Sam Hanna E252131 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: Sam Hanna | Statement: [Nell Jones, worksWith, Sam Hanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Hanna
Context triple: [Nell Jones, worksWith, Sam Hanna]
  • A. Sam Hanna chosen
    Sam Hanna is a highly skilled former Navy SEAL and senior NCIS agent featured as one of the central protagonists in the television series "NCIS: Los Angeles."
  • B. George LaVoo
    George LaVoo is an American filmmaker and screenwriter best known for his work on independent films, including the acclaimed coming-of-age drama "Real Women Have Curves."
  • C. Leon Barmore
    Leon Barmore is a legendary women's college basketball coach best known for leading the Louisiana Tech Lady Techsters to national prominence and multiple NCAA championships.
  • D. Joseph Clemons
    Joseph Clemons is a person most likely known in this context as the primary user or bearer of the name "Clemons."
  • E. Tom Hatten
    Tom Hatten was an American actor, television host, and cartoonist best known in Los Angeles for hosting "The Popeye Show" and "Family Film Festival" on KTLA.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7bb24c8190b67fb4e098b15d83 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:48 a.m.