Triple
T6816960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Fletcher Hurst |
E156787
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hurst |
E471039
|
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: Hurst | Statement: [John Fletcher Hurst, familyName, Hurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurst Context triple: [John Fletcher Hurst, familyName, Hurst]
-
A.
Hurst
chosen
Hurst is a surname most famously associated with Sir Geoff Hurst, the English footballer who scored a hat-trick in the 1966 FIFA World Cup final.
-
B.
Hurst
Hurst is a suburban city in the Dallas–Fort Worth metropolitan area in Texas, known for its residential communities and regional shopping centers.
-
C.
Crowhurst
Crowhurst is a small rural village and civil parish in Surrey, England, known for its historic church and countryside setting.
-
D.
Baslehurst
Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
-
E.
Highfield
Highfield is a residential suburb located within the coastal city of Timaru in the South Island of New Zealand.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723e0c62c8190b3b3b092ea48d4c5 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:17 p.m.