Triple

T12499671
Position Surface form Disambiguated ID Type / Status
Subject Angelica Garnett E298786 entity
Predicate familyName P18 FINISHED
Object Garnett E7533 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: Garnett | Statement: [Angelica Garnett, familyName, Garnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garnett
Context triple: [Angelica Garnett, familyName, Garnett]
  • A. John "Lucky" Garnett
    John "Lucky" Garnett is the charming, tap-dancing gambler and performer played by Fred Astaire in the classic 1936 musical film "Swing Time."
  • B. Tony Garnett
    Tony Garnett was a prominent British television and film producer known for his socially conscious and politically charged dramas, particularly in collaboration with director Ken Loach.
  • C. Randle
    Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
  • D. Kevin Garnett chosen
    Kevin Garnett is a Hall of Fame NBA power forward/center renowned for his intense defense, versatility, and leadership, highlighted by winning the 2008 championship and Defensive Player of the Year with the Boston Celtics.
  • E. Maye
    Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb131608190b34a07a7026b160e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.