Triple

T23045968
Position Surface form Disambiguated ID Type / Status
Subject Jessica Livingston E573877 entity
Predicate spouse P13 FINISHED
Object Paul Graham 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: Paul Graham | Statement: [Jessica Livingston, spouse, Paul Graham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Graham
Context triple: [Jessica Livingston, spouse, Paul Graham]
  • A. Paul Graham chosen
    Paul Graham is a British-born American programmer, essayist, and entrepreneur best known for co-founding the influential startup accelerator Y Combinator and for his widely read essays on startups and technology.
  • B. Fred Wilson
    Fred Wilson is a venture capitalist best known as a co-founder of Union Square Ventures and an influential early-stage tech investor and blogger.
  • C. Fred Wilson
    Fred Wilson is the ambitious and profit-driven Petrox Oil executive who leads the ill-fated expedition to Skull Island in the 1976 remake of King Kong.
  • D. Fred Wilson
    Fred Wilson is a businessman and entrepreneur best known for founding the generator manufacturing company FG Wilson.
  • E. Fred Wilson
    Fred Wilson is an American conceptual artist best known for his provocative museum installations that expose and challenge historical narratives, race, and power structures.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f185192754819093a87d23371e7bbc completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.