Triple

T8637387
Position Surface form Disambiguated ID Type / Status
Subject Aire Webster E204556 entity
Predicate givenName P17 FINISHED
Object Aire
Aire is a given name that can be used for individuals of any gender, often chosen for its airy, nature-inspired sound and uniqueness.
 E747159 NE FINISHED

How this triple was built (4 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: Aire | Statement: [Aire Webster, givenName, Aire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aire
Context triple: [Aire Webster, givenName, Aire]
  • A. Aires
    Aires was a Colombian airline that operated domestic and regional flights before being rebranded as LATAM Colombia.
  • B. Airegin
    Airegin is a celebrated jazz composition by saxophonist Sonny Rollins, known as a bebop standard frequently performed and recorded by leading jazz musicians.
  • C. Aire Mouth
    Aire Mouth is the point where the River Aire in Yorkshire, England, flows into the River Ouse, marking the downstream terminus of the Aire and Calder Navigation.
  • D. Airok
    Airok is a small settlement located on Ailinglaplap Atoll in the Marshall Islands.
  • E. Zephyr
    Zephyr is an open-source, small-footprint real-time operating system designed for resource-constrained embedded and IoT devices.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aire
Triple: [Aire Webster, givenName, Aire]
Generated description
Aire is a given name that can be used for individuals of any gender, often chosen for its airy, nature-inspired sound and uniqueness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aire
Target entity description: Aire is a given name that can be used for individuals of any gender, often chosen for its airy, nature-inspired sound and uniqueness.
  • A. Aires
    Aires was a Colombian airline that operated domestic and regional flights before being rebranded as LATAM Colombia.
  • B. Airegin
    Airegin is a celebrated jazz composition by saxophonist Sonny Rollins, known as a bebop standard frequently performed and recorded by leading jazz musicians.
  • C. Aire Mouth
    Aire Mouth is the point where the River Aire in Yorkshire, England, flows into the River Ouse, marking the downstream terminus of the Aire and Calder Navigation.
  • D. Airok
    Airok is a small settlement located on Ailinglaplap Atoll in the Marshall Islands.
  • E. Zephyr
    Zephyr is an open-source, small-footprint real-time operating system designed for resource-constrained embedded and IoT devices.
  • F. None of above. chosen

Provenance (5 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc476255508190b3e5855232b399a0 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc2c2b84819087a9f23b47c607e8 completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebd4633f08190971d5d67e5a7496a completed April 2, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69cebe12fa94819099e37ed9e5cd83b7 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:28 p.m.