Triple

T9229958
Position Surface form Disambiguated ID Type / Status
Subject Abby Mann E221789 entity
Predicate familyName P18 FINISHED
Object Goodman E339208 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: Goodman | Statement: [Abby Mann, familyName, Goodman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodman
Context triple: [Abby Mann, familyName, Goodman]
  • A. Goodman chosen
    Goodman is a common English-language surname borne by numerous notable individuals across fields such as philosophy, arts, and entertainment.
  • B. Sherwin
    Sherwin is a surname most notably associated with Martin J. Sherwin, an American historian known for his work on nuclear history and the life of J. Robert Oppenheimer.
  • C. Wyman-Gordon
    Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
  • D. Trumbauer
    Trumbauer is a surname most notably associated with American architect Horace Trumbauer, known for his grand Gilded Age mansions and institutional buildings.
  • E. Sullivan & Son
    Sullivan & Son is an American sitcom that follows a corporate lawyer who leaves his big-city career to run his family's bar in a working-class Pittsburgh neighborhood.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee17a2dc8190b373f78be7247f0d completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077a789f0819087d7f7612bbeaf6a completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:29 p.m.