Triple
T5901707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartley |
E131240
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hartly |
E131240
|
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: Hartly | Statement: [Hartley, hasVariant, Hartly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartly Context triple: [Hartley, hasVariant, Hartly]
-
A.
Hartley
Hartley is a small census-designated community located in Solano County, California.
-
B.
Hartley
chosen
Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
-
C.
Hayle
Hayle is a small coastal town and port in west Cornwall, England, situated at the mouth of the Hayle River and known for its industrial heritage and sandy beaches.
-
D.
Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
-
E.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0373489208190ba51c013e81c9938 |
completed | March 22, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b16297588190928693a7c31ec0a7 |
completed | March 23, 2026, 3:20 a.m. |
Created at: March 22, 2026, 3:58 p.m.