Triple

T21326824
Position Surface form Disambiguated ID Type / Status
Subject Martha and Spencer Love School of Business E525779 entity
Predicate namedAfter P63 FINISHED
Object Spencer Love NE NERFINISHED

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: Spencer Love | Statement: [Martha and Spencer Love School of Business, namedAfter, Spencer Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spencer Love
Context triple: [Martha and Spencer Love School of Business, namedAfter, Spencer Love]
  • A. Spencer Love chosen
    Spencer Love was an American industrialist and founder of Burlington Industries, a major textile manufacturing company.
  • B. Spencer Garrett
    Spencer Garrett is an American character actor known for his numerous supporting roles in film and television, often portraying political figures, lawyers, and journalists.
  • C. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • D. Spencer Connelly
    Spencer Connelly is a minor character in the 1997 romantic comedy-drama film "As Good as It Gets."
  • E. Spencer Maggart
    Spencer Maggart is a member of the Maggart family, known as a child of American actor and musician Brandon Maggart.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4a796081908148ec9106362d3d completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.