Triple

T10902618
Position Surface form Disambiguated ID Type / Status
Subject Wayne Huizenga E257483 entity
Predicate spouse P13 FINISHED
Object Martha Love E525779 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: Martha Love | Statement: [Wayne Huizenga, spouse, Martha Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Love
Context triple: [Wayne Huizenga, spouse, Martha Love]
  • A. Martha Love chosen
    Martha Love was a benefactor whose support and legacy are honored through the naming of the Martha and Spencer Love School of Business.
  • B. Martha Wilson
    Martha Wilson is a kindly but often exasperated elderly neighbor character in the Dennis the Menace franchise, frequently involved in the young troublemaker’s misadventures.
  • C. Martha Dix
    Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
  • D. Martha Tilson
    Martha Tilson is a vocalist best known for her work with the influential English post-punk band A Certain Ratio.
  • E. Martha Simms
    Martha Simms is a central family member character on the 1970s American sitcom "The Paul Lynde Show," often involved in the show's domestic and comedic situations.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a4e9d48190b107839761a2152b completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e58a8c67248190be284ddd84f9d8b8 completed April 20, 2026, 2:08 a.m.
Created at: April 8, 2026, 9:22 p.m.