Triple
T10895588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway Tearle |
E257299
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Conway |
E38473
|
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: Conway | Statement: [Conway Tearle, givenName, Conway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conway Context triple: [Conway Tearle, givenName, Conway]
-
A.
Conway
chosen
Conway is a surname most notably associated with the influential British mathematician John H. Conway, known for his work in group theory, number theory, and cellular automata such as the Game of Life.
-
B.
Nowell
Nowell is an alternative English spelling of the traditional Christmas carol title “The First Noël,” reflecting an older form of the word "Noel."
-
C.
Loudon
Loudon is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
-
D.
Loudon
Loudon is the first name of Loudon Wainwright III, an American singer-songwriter and actor known for his witty, autobiographical folk songs.
-
E.
Hannan
Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d022f4c81909cd9ea27a9f0cd32 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15519e620819090e492861de6a567 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:21 p.m.