Triple

T12240200
Position Surface form Disambiguated ID Type / Status
Subject Bert Spitz E291708 entity
Predicate givesAdviceTo P488 FINISHED
Object Nicole Barber E970972 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: Nicole Barber | Statement: [Bert Spitz, givesAdviceTo, Nicole Barber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicole Barber
Context triple: [Bert Spitz, givesAdviceTo, Nicole Barber]
  • A. Nicole Barber
    Nicole Barber is a central character in the film "Marriage Story," portrayed as an actress navigating a painful divorce and personal rediscovery.
  • B. Nicole Barber chosen
    Nicole Barber is a client represented by legal professional Bert Spitz, likely involved in a legal or advocacy matter.
  • C. Nicole Shanahan
    Nicole Shanahan is an American attorney, legal tech entrepreneur, and philanthropist known for founding the patent management company ClearAccessIP and for her high-profile marriage to Google co-founder Sergey Brin.
  • D. Nicole Lambert
    Nicole Lambert is a film producer known for her work on the crime drama prequel "The Many Saints of Newark."
  • E. Nicole Bristol
    Nicole Bristol is a French local politician who serves as the mayor of the commune of Montesson.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb59ce4819099999b8755fb8b98 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5ff68c81909d2796b24dd055f4 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.