Triple
T7608861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reg Underhill |
E172179
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Underhill |
E172179
|
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: Underhill | Statement: [Reg Underhill, familyName, Underhill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Underhill Context triple: [Reg Underhill, familyName, Underhill]
-
A.
Underhill
chosen
Underhill is an English surname historically associated with various notable figures in politics, religion, and the arts.
-
B.
Westcott
Westcott is a village in the Mole Valley district of Surrey, England, known for its rural setting in the Surrey Hills.
-
C.
Hensleigh
Hensleigh is a masculine given name of English origin, notably borne by the 19th-century philologist and etymologist Hensleigh Wedgwood.
-
D.
Rougemont
Rougemont is a picturesque Swiss alpine village in the canton of Vaud, known for its traditional chalets, mountain scenery, and proximity to the upscale resort area of Gstaad.
-
E.
Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa1f6e888190ac6580724803fbc3 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be1aae508190b10dc8890a436cca |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 3:54 p.m.