Triple
T8083378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hewitt |
E188670
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hewitt |
E188670
|
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: Hewitt | Statement: [John Hewitt, familyName, Hewitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hewitt Context triple: [John Hewitt, familyName, Hewitt]
-
A.
Hewitt
A Hewitt is a classification for hills in England, Wales, and Ireland that are at least 2,000 feet high with a minimum prominence of 30 meters, commonly used by peak baggers and hillwalkers.
-
B.
Hewitt
Hewitt is a locality or settlement associated with a High Street, likely serving as a small town or neighborhood center.
-
C.
Hewitt
chosen
Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
-
D.
Lleyton
Lleyton is the given name of Australian former world No. 1 professional tennis player Lleyton Hewitt.
-
E.
James Hewitt
James Hewitt is a former British cavalry officer best known for his romantic relationship with Diana, Princess of Wales, during the late 1980s and early 1990s.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415cb4688190920868317e77bbff |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd947cf7a881908b45cf262887da86 |
completed | April 1, 2026, 9:56 p.m. |
Created at: March 30, 2026, 5:29 p.m.