Triple

T23023398
Position Surface form Disambiguated ID Type / Status
Subject Jason Biggs E573228 entity
Predicate twitterUsername P2943 FINISHED
Object JasonBiggs 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: JasonBiggs | Statement: [Jason Biggs, twitterUsername, JasonBiggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JasonBiggs
Context triple: [Jason Biggs, twitterUsername, JasonBiggs]
  • A. JasonBiggs chosen
    JasonBiggs is an American actor best known for his role as Jim Levenstein in the "American Pie" film series.
  • B. Hugh Lloyd
    Hugh Lloyd was a British character actor and comedian best known for his work in mid-20th-century film and television, particularly in comic roles.
  • C. Daniel Radcliffe
    Daniel Radcliffe is an English actor best known for playing the title role in the Harry Potter film series.
  • D. Jason O'Mara
    Jason O'Mara is an Irish actor known for his leading roles in television series such as Terra Nova, Life on Mars, and Agents of S.H.I.E.L.D.
  • E. Michael Fenton Stevens
    Michael Fenton Stevens is a British actor and comedian known for his work in television, radio, and comedy ensembles such as The Hee Bee Gee Bees and Radio Active.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847b86688190b678d0d09ecd3c3d completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.