Triple
T10323982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OJ Haywood |
E242711
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Haywood |
E343236
|
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: Haywood | Statement: [OJ Haywood, hasSurname, Haywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haywood Context triple: [OJ Haywood, hasSurname, Haywood]
-
A.
Haywood
chosen
Haywood is the given name of Haywood S. Hansell, a U.S. Air Force general known for his role in developing strategic bombing doctrine during World War II.
-
B.
Hay Bluff
Hay Bluff is a prominent hill on the northern edge of the Black Mountains in the Brecon Beacons National Park, known for its sweeping views over the Welsh–English border and the nearby town of Hay-on-Wye.
-
C.
Woodfin
Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
-
D.
Lenoir
Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
-
E.
Caswell
Caswell is a coastal village and popular beach area on the Gower Peninsula in Swansea, Wales, known for its sandy bay and surfing.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ce683c8190bf5385dd04bf2de8 |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7503f3df88190bc5acb5e5295f787 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:51 a.m.