Triple

T20812274
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Zimmerman E512342 entity
Predicate name P16 FINISHED
Object Elizabeth Zimmerman 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: Elizabeth Zimmerman | Statement: [Elizabeth Zimmerman, name, Elizabeth Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Zimmerman
Context triple: [Elizabeth Zimmerman, name, Elizabeth Zimmerman]
  • A. Elizabeth Zimmerman chosen
    Elizabeth Zimmerman is a Filipina former flight attendant best known as the ex-wife of former Philippine president Rodrigo Duterte and the mother of several of his children.
  • B. Elizabeth Ziman
    Elizabeth Ziman is an American singer-songwriter and frontwoman of the indie pop band Elizabeth and the Catapult, known for her literate, jazz-inflected songwriting.
  • C. Jane Weinzapfel
    Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
  • D. Evelyn Meltzer
    Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
  • E. Lilla Zuckerman
    Lilla Zuckerman is a television writer and producer known for her work on series such as Poker Face and other genre and drama shows.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d338ac819096d4a33de831609e completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.