Triple

T9954098
Position Surface form Disambiguated ID Type / Status
Subject Homer Simpson E195402 entity
Predicate mother P120 FINISHED
Object Mona Simpson E62082 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: Mona Simpson | Statement: [Homer Simpson, mother, Mona Simpson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mona Simpson
Context triple: [Homer Simpson, mother, Mona Simpson]
  • A. Mona Simpson chosen
    Mona Simpson is an American novelist and professor known for works such as "Anywhere but Here" and for being the biological sister of Apple co-founder Steve Jobs.
  • B. Jeri Southern
    Jeri Southern was an American jazz and pop singer and pianist known for her intimate, emotionally nuanced vocal style in the 1950s.
  • C. Melissa Winogrand
    Melissa Winogrand is known as one of the children of influential American street photographer Garry Winogrand.
  • D. Margene Heffman
    Margene Heffman is a fictional character from the television drama series "Big Love," known as the youngest and most free-spirited wife in a modern polygamist family.
  • E. Judy Nelson
    Judy Nelson is best known as the former partner of tennis legend Martina Navratilova and the plaintiff in a high-profile palimony lawsuit against her in the 1990s.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb694b95481909d049302818e7137 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2294335208190a0483c4e89abb359 completed April 5, 2026, 9:20 a.m.
Created at: March 30, 2026, 8:46 p.m.