Triple

T10511440
Position Surface form Disambiguated ID Type / Status
Subject James Prescott Joule E247923 entity
Predicate hasUnitNamedAfter P63 FINISHED
Object joule E868103 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: joule | Statement: [James Prescott Joule, hasUnitNamedAfter, joule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: joule
Context triple: [James Prescott Joule, hasUnitNamedAfter, joule]
  • A. Joule chosen
    Joule is the SI unit of energy, named after the English physicist James Prescott Joule for his work on the mechanical equivalent of heat.
  • B. Watt
    Watt is an experimental novel by Samuel Beckett that follows the absurd, often comic journey of its title character through a bizarre and logically distorted world.
  • C. kelvin
    Kelvin is the SI base unit of thermodynamic temperature, used to measure absolute temperature from absolute zero upward.
  • D. coulomb
    The coulomb is the SI unit of electric charge, representing the quantity of charge transported by a one-ampere current in one second.
  • E. Rénergie
    Rénergie is a premium anti-aging skincare line by Lancôme known for its lifting, firming, and wrinkle-reducing treatments.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b5fcb8819087a23a2b26aecd70 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933e4ae048190be51a02c571fab8b completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:27 p.m.