Triple

T22623127
Position Surface form Disambiguated ID Type / Status
Subject Marg E558338 entity
Predicate hasVariant P455 FINISHED
Object Marge 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: Marge | Statement: [Marg, hasVariant, Marge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marge
Context triple: [Marg, hasVariant, Marge]
  • A. Marge
    Marge is a character in the horror film "We Are What We Are," serving as part of the story’s unsettling small-town community surrounding the central family.
  • B. Marge Simpson
    Marge Simpson is the blue-haired, patient, and moral center of the Simpson family on the long-running animated television series "The Simpsons."
  • C. Marge Gunderson
    Marge Gunderson is the pregnant, small-town Minnesota police chief known for her calm competence and moral clarity in the film "Fargo."
  • D. Lisa Simpson
    Lisa Simpson is the intelligent, saxophone-playing, socially conscious middle child of the Simpson family on the animated television series "The Simpsons."
  • E. Maggie Simpson
    Maggie Simpson is the pacifier-sucking infant daughter of the Simpson family in the animated television series "The Simpsons."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3b97f8819082ea2b23ff4b2173 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3:01 p.m.