Triple
T22086079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawley |
E545778
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Henry Hawley |
—
|
NE NERFINISHED |
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: Henry Hawley | Statement: [Hawley, hasNotableBearer, Henry Hawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Hawley Context triple: [Hawley, hasNotableBearer, Henry Hawley]
-
A.
Henry Hawley
chosen
Henry Hawley was an 18th-century British Army general best known for his controversial leadership and defeat during the Jacobite Rising of 1745.
-
B.
Albert Ellingwood
Albert Ellingwood was an early 20th-century American mountaineer and pioneering climber known for many first ascents in the Rocky Mountains.
-
C.
Henry William Stisted
Henry William Stisted was a British army officer and colonial administrator who became the first Lieutenant Governor of Ontario after Canadian Confederation.
-
D.
William Halloway
William Halloway is a fictional character, often depicted as a young boy confronting supernatural or extraordinary events in literature.
-
E.
Henry Holland Buckman
Henry Holland Buckman was a prominent Floridian lawyer and legislator best known for his role in reforming the state’s higher education system in the early 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128ba24ac819082fc4aa274553481 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.