Triple
T10798880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Hal Ashby |
E254785
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ashby |
E251640
|
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: Ashby | Statement: [William Hal Ashby, familyName, Ashby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashby Context triple: [William Hal Ashby, familyName, Ashby]
-
A.
Ashby
Ashby is a small town in north-central Massachusetts, United States, known for its rural character and proximity to the city of Fitchburg.
-
B.
Ashby
chosen
Ashby is a surname most notably associated with Hal Ashby, the influential American film director known for 1970s classics such as "Harold and Maude" and "Being There."
-
C.
Ashby
Ashby is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
-
D.
Ashby
Ashby is a small rural locality in the Clarence Valley region of New South Wales, Australia, known for its riverside setting and quiet village atmosphere.
-
E.
Ashby-de-la-Zouch
Ashby-de-la-Zouch is a historic market town in the English Midlands, noted for its medieval castle ruins and Georgian architecture.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73334feb08190aae967eaa37659f7 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566352608190ab15e3a4b690c9a5 |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:17 p.m.