Triple
T19622165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey Charles Hurst |
E471038
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hurst |
—
|
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: Hurst | Statement: [Geoffrey Charles Hurst, familyName, Hurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurst Context triple: [Geoffrey Charles 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.
Hurst
Hurst is a village in Berkshire, England, situated in the Wokingham district between Reading and Maidenhead.
-
D.
Crowhurst
Crowhurst is a small rural village and civil parish in Surrey, England, known for its historic church and countryside setting.
-
E.
Helburn
Helburn is a surname most notably associated with Theresa Helburn, an influential American theatrical producer and co-founder of the Theatre Guild.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e7949081908a89414ef899fa20 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.