Triple

T13609662
Position Surface form Disambiguated ID Type / Status
Subject Marta Kauffman E325155 entity
Predicate familyName P18 FINISHED
Object Kauffman E399547 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: Kauffman | Statement: [Marta Kauffman, familyName, Kauffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kauffman
Context triple: [Marta Kauffman, familyName, Kauffman]
  • A. Kauffman chosen
    Kauffman is a surname most notably associated with American pharmaceutical entrepreneur and Kansas City Royals founder Ewing Kauffman.
  • B. Knot
    Knot is a Dutch surname most prominently associated with Klaas Knot, the president of the Dutch central bank (De Nederlandsche Bank) and a leading European economist.
  • C. Knotz
    Knotz is a music producer known for working with the artist Gravitas.
  • D. Knot Cities
    Knot Cities is a fictional or conceptual urban setting associated with the operations of the entity known as Bridges.
  • E. Gabai
    Gabai is a Hebrew-language surname commonly found among Jewish families, notably borne by Israeli actor Sasson Gabai.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.