Triple
T18620508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airey Neave |
E455133
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Airey |
—
|
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: Airey | Statement: [Airey Neave, givenName, Airey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airey Context triple: [Airey Neave, givenName, Airey]
-
A.
Airey
chosen
Airey is a masculine given name most notably borne by British Conservative politician and war hero Airey Neave.
-
B.
Harcourt-Smith
Harcourt-Smith is a British surname associated with figures such as museum director and archaeologist Cecil Harcourt-Smith.
-
C.
Bonython
Bonython is a residential suburb in the Tuggeranong district of Canberra, Australia, known for its proximity to Lake Tuggeranong and family-oriented community.
-
D.
Clarence Blackall
Clarence Blackall was a prominent American architect best known for designing many of Boston’s landmark theaters and commercial buildings in the late 19th and early 20th centuries.
-
E.
John Fairfax
John Fairfax was a 19th-century English-born Australian newspaper publisher whose family company grew into one of Australia’s most influential media empires.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f00889c8190931f8d3fbabd531b |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.