Triple
T14054896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Ayer |
E338190
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James Ayer |
E338190
|
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: James Ayer | Statement: [James Ayer, name, James Ayer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Ayer Context triple: [James Ayer, name, James Ayer]
-
A.
James Ayer
chosen
James Ayer was a prominent local figure and benefactor after whom the town of Ayer, Massachusetts, was named.
-
B.
Arthur Aylesworth
Arthur Aylesworth was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
-
C.
Thomas Pierson
Thomas Pierson is an American nonprofit leader best known for establishing and guiding the SETI Institute, a major center for scientific research on the search for extraterrestrial intelligence.
-
D.
John Sewell
John Sewell is a former English footballer and manager best known for his involvement in North American soccer, including coaching in the NASL.
-
E.
William Pierson
William Pierson is a tough, battle-hardened U.S. Army staff sergeant and key supporting character in the World War II–themed video game Call of Duty: WWII.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6608cf8819087ed5d890b82650a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.