Triple
T12260927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayres |
E292220
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Thomas Ayres
Thomas Ayres is a relatively obscure individual whose specific notability is not widely documented in common reference sources.
|
E968871
|
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: Thomas Ayres | Statement: [Ayres, hasNotableBearer, Thomas Ayres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Ayres Context triple: [Ayres, hasNotableBearer, Thomas Ayres]
-
A.
George Ayscue
George Ayscue was a 17th-century English naval officer and admiral who served prominently in the Royal Navy during the Anglo-Dutch Wars.
-
B.
Laurence Eusden
Laurence Eusden was an early 18th-century English poet best known for serving as one of the youngest and least acclaimed Poets Laureate of the United Kingdom.
-
C.
Arthur Bannister
Arthur Bannister is a cunning, crippled defense attorney and one of the central, morally ambiguous figures in Orson Welles’s film noir *The Lady from Shanghai*.
-
D.
Alfred Yeates
Alfred Yeates was a British architect best known for designing the notable Golders Green Crematorium in London.
-
E.
Alfred Yeates
Alfred Yeates was a civil engineer best known for designing London’s Southwark Bridge.
- 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: Thomas Ayres Triple: [Ayres, hasNotableBearer, Thomas Ayres]
Generated description
Thomas Ayres is a relatively obscure individual whose specific notability is not widely documented in common reference sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Ayres Target entity description: Thomas Ayres is a relatively obscure individual whose specific notability is not widely documented in common reference sources.
-
A.
George Ayscue
George Ayscue was a 17th-century English naval officer and admiral who served prominently in the Royal Navy during the Anglo-Dutch Wars.
-
B.
Laurence Eusden
Laurence Eusden was an early 18th-century English poet best known for serving as one of the youngest and least acclaimed Poets Laureate of the United Kingdom.
-
C.
Arthur Bannister
Arthur Bannister is a cunning, crippled defense attorney and one of the central, morally ambiguous figures in Orson Welles’s film noir *The Lady from Shanghai*.
-
D.
Alfred Yeates
Alfred Yeates was a British architect best known for designing the notable Golders Green Crematorium in London.
-
E.
Alfred Yeates
Alfred Yeates was a civil engineer best known for designing London’s Southwark Bridge.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ac1b5148190838b782848e3fa36 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60bde9b0c81908df8207a8b6530af |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c99de9881909ef87b878ac346fc |
completed | May 2, 2026, 2:39 p.m. |
Created at: April 8, 2026, 9:52 p.m.