Triple

T13547979
Position Surface form Disambiguated ID Type / Status
Subject Anywhere but Here E323563 entity
Predicate author P4 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: [Anywhere but Here, author, Mona Simpson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mona Simpson
Context triple: [Anywhere but Here, author, 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. Mona Simpson
    Mona Simpson is a recurring character on the animated television series "The Simpsons," known as Homer Simpson’s estranged, activist mother.
  • C. Jeri Southern
    Jeri Southern was an American jazz and pop singer and pianist known for her intimate, emotionally nuanced vocal style in the 1950s.
  • D. Melissa Winogrand
    Melissa Winogrand is known as one of the children of influential American street photographer Garry Winogrand.
  • E. 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.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da2c2008190b43a653a349ea0c7 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.