Triple

T13865359
Position Surface form Disambiguated ID Type / Status
Subject Leland Robinson E333309 entity
Predicate name P16 FINISHED
Object Leland Robinson E333309 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: Leland Robinson | Statement: [Leland Robinson, name, Leland Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leland Robinson
Context triple: [Leland Robinson, name, Leland Robinson]
  • A. Leland Robinson chosen
    Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
  • B. Samuel Stehman Haldeman
    Samuel Stehman Haldeman was a 19th-century American naturalist, philologist, and academic known for his influential work in linguistics and the natural sciences.
  • C. John Buckwalter
    John Buckwalter is an actor known for his role in Woody Allen’s mockumentary film "Zelig."
  • D. David Anspaugh
    David Anspaugh is an American film and television director best known for directing the sports dramas "Hoosiers" and "Rudy."
  • E. Ben F. Reynolds
    Ben F. Reynolds was an early 20th-century American cinematographer known for his work on silent films, including the 1925 production of "The Merry Widow."
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c30d9c81908217d41a3b4aaf85 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1bbee14819082e1a381a5950e07 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:14 p.m.