Triple

T15096713
Position Surface form Disambiguated ID Type / Status
Subject Louise Lake-Tack E360557 entity
Predicate predecessor P97 FINISHED
Object James Carlisle E1146544 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: James Carlisle | Statement: [Louise Lake-Tack, predecessor, James Carlisle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Carlisle
Context triple: [Louise Lake-Tack, predecessor, James Carlisle]
  • A. James Carlisle chosen
    James Carlisle is a notable figure who has been honored with a knighthood, indicating distinguished service or achievement in his field.
  • B. William Terrell
    William Terrell was an American politician and public figure from Georgia, honored as the namesake of Terrell County.
  • C. Elkin Mathews
    Elkin Mathews was a British publisher and bookseller best known for championing early works of major modernist writers, including W.B. Yeats and James Joyce.
  • D. Henry Killilea
    Henry Killilea was an early 20th-century American baseball executive and lawyer who co-founded the American League and played a key role in establishing the modern World Series.
  • E. Horace Albert McKinney
    Horace Albert "Bones" McKinney was an American basketball player and coach best known for his colorful personality and successful coaching career at Wake Forest University.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005466e9c8190a68e1fbeb8922b1a completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef61cf80819096a3cb611f5af9fc completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:04 a.m.