Triple

T12946162
Position Surface form Disambiguated ID Type / Status
Subject Houston Nutt E309771 entity
Predicate familyName P18 FINISHED
Object Nutt E707488 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: Nutt | Statement: [Houston Nutt, familyName, Nutt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nutt
Context triple: [Houston Nutt, familyName, Nutt]
  • A. Nutt chosen
    Nutt is a surname most notably associated with David Nutt, a British neuropsychopharmacologist known for his research on the effects of drugs on the brain and for advising on drug policy.
  • B. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • C. NUT
    NUT is the commonly used abbreviation for Nagaoka University of Technology, a Japanese national university specializing in engineering and technology.
  • D. Nessa
    Nessa is a Valië in J.R.R. Tolkien’s legendarium, known as the swift, joyful dancer and wife of Tulkas among the Valar.
  • E. Nessa
    Nessa is a small locality situated within the Leipzig metropolitan region in Germany.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1b3694819098527dcea3cfed93 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af75bc04819098d98c47fca48ac9 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:43 p.m.