Triple

T11171882
Position Surface form Disambiguated ID Type / Status
Subject James Keene E264291 entity
Predicate testifiedAbout P4080 FINISHED
Object Larry Hall E908929 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: Larry Hall | Statement: [James Keene, testifiedAbout, Larry Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Hall
Context triple: [James Keene, testifiedAbout, Larry Hall]
  • A. Larry Hall chosen
    Larry Hall is the real-life convicted serial killer whose manipulative and unsettling personality is central to the crime drama miniseries "Black Bird."
  • B. Harry Van Arsdale Jr.
    Harry Van Arsdale Jr. was a prominent New York labor leader and influential trade unionist who played a key role in shaping mid-20th-century labor relations and workers’ rights in the state.
  • C. Allen Hoskins
    Allen Hoskins was an American child actor best known for his role as Farina in the early Our Gang (Little Rascals) comedy shorts.
  • D. Larry Csonka
    Larry Csonka is a Hall of Fame NFL fullback best known for powering the Miami Dolphins’ dominant early-1970s teams, including their perfect 1972 season and back-to-back Super Bowl titles.
  • E. Lester Matthews
    Lester Matthews was a British character actor known for his numerous supporting roles in Hollywood films from the 1930s through the 1960s.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496d1ffa48190b29b4d4b71803564 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.