Triple

T23477322
Position Surface form Disambiguated ID Type / Status
Subject Filthy Rich E570297 entity
Predicate hasCastMember P2308 FINISHED
Object Jerry Hardin NE NERFINISHED

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: Jerry Hardin | Statement: [Filthy Rich, hasCastMember, Jerry Hardin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Hardin
Context triple: [Filthy Rich, hasCastMember, Jerry Hardin]
  • A. Jerry Hardin chosen
    Jerry Hardin is an American character actor best known for his prolific film and television work, including his recurring role as Deep Throat on The X-Files.
  • B. Brian Hardin
    Brian Hardin is a collegiate athletics administrator who serves as the athletic director overseeing Drake University's sports programs, including the men's basketball team.
  • C. Mr. Hardin
    Mr. Hardin is the ruthless, militaristic high school teacher who becomes the central antagonist in the sci-fi horror film "Class of 1999."
  • D. Wayne Hardin
    Wayne Hardin was a prominent American college football coach best known for his successful tenures leading the Navy Midshipmen and Temple Owls programs.
  • E. Hardman Earle
    Hardman Earle was a prominent 19th-century British railway entrepreneur and landowner whose influence in the development of rail transport led to places such as Earlestown being named in his honor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74dbea8819085ca84391039e7f7 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:01 p.m.