Triple

T9732688
Position Surface form Disambiguated ID Type / Status
Subject Marjorie E235982 entity
Predicate hasNickname P39 FINISHED
Object Marge E195403 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: Marge | Statement: [Marjorie, hasNickname, Marge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marge
Context triple: [Marjorie, hasNickname, Marge]
  • A. Marge Simpson chosen
    Marge Simpson is the blue-haired, patient, and moral center of the Simpson family on the long-running animated television series "The Simpsons."
  • B. Marge Gunderson
    Marge Gunderson is the pregnant, small-town Minnesota police chief known for her calm competence and moral clarity in the film "Fargo."
  • C. Lisa Simpson
    Lisa Simpson is the intelligent, saxophone-playing, socially conscious middle child of the Simpson family on the animated television series "The Simpsons."
  • D. Maggie Simpson
    Maggie Simpson is the pacifier-sucking infant daughter of the Simpson family in the animated television series "The Simpsons."
  • E. Gail Griffin
    Gail Griffin is best known as the mother of former NBA All-Star forward Blake Griffin.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb3d6e4819090b3c7fb92550c57 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afc4dcc4819096d29c1a0529d272 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.