Triple

T10707151
Position Surface form Disambiguated ID Type / Status
Subject STS-51-L E252436 entity
Predicate payloadSpecialist P21472 FINISHED
Object Gregory Jarvis E148819 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: Gregory Jarvis | Statement: [STS-51-L, payloadSpecialist, Gregory Jarvis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregory Jarvis
Context triple: [STS-51-L, payloadSpecialist, Gregory Jarvis]
  • A. Gregory Jarvis chosen
    Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
  • B. Gregory Hess
    Gregory Hess was an American protester whose conviction for disorderly conduct during an antiwar demonstration led to the landmark U.S. Supreme Court free speech case Hess v. Indiana.
  • C. Jon Gregory
    Jon Gregory was a British film editor known for his work on acclaimed films such as "Four Weddings and a Funeral," "Secrets & Lies," and several collaborations with director Mike Leigh.
  • D. Gregory Mann
    Gregory Mann is a British actor and voice actor best known for voicing the title character in Guillermo del Toro's animated film "Pinocchio."
  • E. Gregory Bald
    Gregory Bald is a scenic grassy summit in the Great Smoky Mountains renowned for its panoramic views and spectacular flame azalea displays.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69de847e0ee48190a4c1470fc5296213 completed April 14, 2026, 6:16 p.m.
Created at: April 8, 2026, 9:12 p.m.