Triple
T12561321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Kent |
E295355
|
entity |
| Predicate | succeededInOfficeBy |
P3000
|
FINISHED |
| Object | John Fairfield |
E363483
|
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: John Fairfield | Statement: [Edward Kent, succeededInOfficeBy, John Fairfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Fairfield Context triple: [Edward Kent, succeededInOfficeBy, John Fairfield]
-
A.
John Fairfield
chosen
John Fairfield was a 19th-century American politician and governor of Maine who played a key leadership role during the Aroostook War, a border dispute between the United States and British North America.
-
B.
David Abercrombie
David Abercrombie was a British phonetician and linguist known for his influential work on phonetics and the study of spoken English.
-
C.
John Bloomfield
John Bloomfield is a British costume designer best known for his work on major fantasy and adventure films, including "Conan the Destroyer."
-
D.
John Truett
John Truett is the charming boy-next-door love interest of Esther Smith in the classic 1944 musical film "Meet Me in St. Louis."
-
E.
John Farris
John Farris is an American novelist and screenwriter best known for his horror and suspense fiction, including the novel that inspired Brian De Palma’s film "The Fury."
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954933e7c819083471c627ce55ff1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb71c548190826d243a354bd01c |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 11:48 p.m.