Triple

T17018305
Position Surface form Disambiguated ID Type / Status
Subject Search Party E412878 entity
Predicate stars P1956 FINISHED
Object John Early E893271 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: John Early | Statement: [Search Party, stars, John Early]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Early
Context triple: [Search Party, stars, John Early]
  • A. John Early
    John Early was a notable figure significant enough in local history or society that the community of Earlysville, Virginia, was named in his honor.
  • B. John Early chosen
    John Early is an American comedian and actor known for his offbeat, absurdist performances in film, television, and live comedy, frequently collaborating with fellow comic Kate Berlant.
  • C. James Frawley
    James Frawley was an American director and actor best known for his work in film and television comedy, including directing the original Muppet feature film.
  • D. Charles Nelson
    Charles Nelson was a film editor active in early 1940s American cinema, known for his work on studio-era features.
  • E. Harold Gould
    Harold Gould was an American character actor best known for his prolific work in film and television from the 1960s through the 1990s, including memorable roles in projects like "The Sting" and the TV series "The Golden Girls."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed0b78481909a11c1529db6c1cd completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.