Triple

T13533000
Position Surface form Disambiguated ID Type / Status
Subject Rob Riggle E323182 entity
Predicate birthName P65 FINISHED
Object Robert Allen Riggle Jr. E323182 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: Robert Allen Riggle Jr. | Statement: [Rob Riggle, birthName, Robert Allen Riggle Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Allen Riggle Jr.
Context triple: [Rob Riggle, birthName, Robert Allen Riggle Jr.]
  • A. Rob Riggle chosen
    Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
  • B. Jeffrey Ross
    Jeffrey Ross is an American stand-up comedian and "Roastmaster" best known for his insult comedy and frequent appearances on Comedy Central roasts.
  • C. John Brydon
    John Brydon was a British architect of the late 19th and early 20th centuries, known for designing prominent public buildings in London.
  • D. David Koechner
    David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
  • E. Jeff Garlin
    Jeff Garlin is an American comedian and actor best known for his role as Jeff Greene on the HBO series "Curb Your Enthusiasm" and for his work in film and voice acting.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbb34548190a6b44faa48125cd4 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05c844c8190bb4b72d2400a6355 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:44 p.m.