Triple

T5769626
Position Surface form Disambiguated ID Type / Status
Subject Macbeth E127294 entity
Predicate character P662 FINISHED
Object Lennox E341936 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: Lennox | Statement: [Macbeth, character, Lennox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lennox
Context triple: [Macbeth, character, Lennox]
  • A. Lennox chosen
    Lennox is a historic Scottish noble family name associated with several prominent dukes and aristocratic lineages in Britain.
  • B. Lennox International
    Lennox International is a major American manufacturer of heating, ventilation, air conditioning, and refrigeration (HVACR) equipment serving residential and commercial markets worldwide.
  • C. Crompton
    Crompton is an English surname most notably associated with Samuel Crompton, the inventor of the spinning mule that revolutionized textile manufacturing during the Industrial Revolution.
  • D. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • E. Otis
    Otis is a small rural town in western Massachusetts known for its forests, lakes, and outdoor recreation.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029aa877c8190bf6a944f18cca3b8 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e61127c8190833e279403af6605 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.