Triple

T16345490
Position Surface form Disambiguated ID Type / Status
Subject Donald Ross E396918 entity
Predicate name P16 FINISHED
Object Donald Ross E532761 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: Donald Ross | Statement: [Donald Ross, name, Donald Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Ross
Context triple: [Donald Ross, name, Donald Ross]
  • A. Donald Ross chosen
    Donald Ross was a prominent early 20th-century golf course architect renowned for designing many classic courses across the United States.
  • B. Donald Ross
    Donald Ross was the first husband of legendary American singer, pianist, and civil rights activist Nina Simone.
  • C. Rees Jones
    Rees Jones is a prominent American golf course architect renowned for redesigning and preparing major championship venues, earning him the nickname "The Open Doctor."
  • D. Earl Howe
    Earl Howe is a British Conservative politician and hereditary peer who has held several senior defence and health roles in the UK government.
  • E. Charlie Kohler
    Charlie Kohler is the shy, reclusive pianist protagonist of François Truffaut’s film "Shoot the Piano Player," whose troubled past and entanglement with criminals drive the movie’s tragicomic narrative.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0da1808190b6477613a07c7a88 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db1cd288190a85fa2479369ef4f completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.