Triple
T9656979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawkins |
E233482
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object | Hawkin |
E233482
|
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: Hawkin | Statement: [Hawkins, derivedFromGivenName, Hawkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawkin Context triple: [Hawkins, derivedFromGivenName, Hawkin]
-
A.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
B.
Hawkedon
Hawkedon is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
C.
Hawkins
chosen
Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
-
D.
Hawkley
Hawkley is a small rural village and civil parish in East Hampshire, England, known for its scenic countryside and traditional English character.
-
E.
Hale
Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdd5c0c8190a6c82a1609454d1b |
completed | April 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190eec94c81909ede398926141f89 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:14 p.m.