Triple

T16453412
Position Surface form Disambiguated ID Type / Status
Subject Kevin Love E399610 entity
Predicate relative P37 FINISHED
Object Stan Love E399611 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: Stan Love | Statement: [Kevin Love, relative, Stan Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Love
Context triple: [Kevin Love, relative, Stan Love]
  • A. Stan Love chosen
    Stan Love is a former American professional basketball player who played in the NBA during the 1970s.
  • B. Larry Love
    Larry Love is the stage name of Rob Spragg, the charismatic frontman of the British band Alabama 3, known for their fusion of country, blues, and electronic music.
  • C. Doug Laird
    Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
  • D. David Loughery
    David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
  • E. Kirk Wise
    Kirk Wise is an American film director, screenwriter, and animator best known for co-directing acclaimed Disney animated features such as "Beauty and the Beast" and "The Hunchback of Notre Dame."
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce259d88190803930051409d72c completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4e31a08190b121d0cfe2a406c2 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.