Triple

T16636537
Position Surface form Disambiguated ID Type / Status
Subject Bob Ross E404218 entity
Predicate notableStudent P4838 FINISHED
Object Steve Ross E1224444 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: Steve Ross | Statement: [Bob Ross, notableStudent, Steve Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Ross
Context triple: [Bob Ross, notableStudent, Steve Ross]
  • A. Steve Ross chosen
    Steve Ross is an American painter and art instructor best known as the son of television artist Bob Ross and for occasionally appearing on and continuing his father’s painting legacy from "The Joy of Painting."
  • B. Steve Ross
    Steve Ross was an American businessman best known for building Warner Communications into a media powerhouse and serving as a key architect of what became Time Warner.
  • C. Dan Hartman
    Dan Hartman was an American musician, singer, songwriter, and producer best known for his disco and pop hits in the 1970s and 1980s.
  • D. Allen Ludden
    Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
  • E. William Maher
    William Maher is an American comedian, political commentator, and television host best known for his satirical talk show "Real Time with Bill Maher."
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378ea4b848190bf7c95dad8a855f0 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b984d081909f76ef874431ff40 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.