Triple

T14629417
Position Surface form Disambiguated ID Type / Status
Subject Pittsburgh Steelers Hall of Honor E343438 entity
Predicate hasInductee P1750 FINISHED
Object Ryan Clark E1035456 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: Ryan Clark | Statement: [Pittsburgh Steelers Hall of Honor, hasInductee, Ryan Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Clark
Context triple: [Pittsburgh Steelers Hall of Honor, hasInductee, Ryan Clark]
  • A. Ryan Clark
    Ryan Clark is the inept yet charismatic captain of the space cruise ship in the HBO sci-fi comedy series "Avenue 5."
  • B. Ryan Clark chosen
    Ryan Clark is a former NFL safety and Super Bowl champion who has become a prominent football analyst and television personality.
  • C. Ryan Clark
    Ryan Clark is the husband of English actress Katherine Kelly, known for her roles in British television dramas.
  • D. Neal Doughty
    Neal Doughty is an American keyboardist best known as a founding member of the rock band REO Speedwagon.
  • E. Jarvis Tyner
    Jarvis Tyner is an American communist politician and longtime leader in the Communist Party USA who twice ran for vice president of the United States.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a7c8fc81909d10c1f563d7d1e7 completed April 14, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92ded848190b031d3ff29e54a00 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.