Triple
T20921706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Hadley |
E515224
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hadley |
—
|
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: Hadley | Statement: [Stephen Hadley, familyName, Hadley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadley Context triple: [Stephen Hadley, familyName, Hadley]
-
A.
Hadley
chosen
Hadley is a given name most notably borne by Hadley Richardson, the first wife of writer Ernest Hemingway.
-
B.
Monrow
Monrow is an alternative spelling of the name Monroe, which is commonly used as both a surname and given name and is associated with various notable people and places.
-
C.
Risley
Risley is a village in Derbyshire, England, known for its historic buildings and rural character near the town of Sandiacre.
-
D.
Risley
Risley is a village in Cheshire, England, situated near Culcheth and known for its mix of residential areas and nearby business and science parks.
-
E.
Risley
Risley is an English-language surname of likely British origin borne by various individuals and families.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f64e56bc81908aa86f2176fcc0db |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:48 p.m.