Triple
T13459926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric L. Haney |
E311333
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Haney |
E738765
|
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: Haney | Statement: [Eric L. Haney, familyName, Haney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haney Context triple: [Eric L. Haney, familyName, Haney]
-
A.
Haney
chosen
Haney is a historic community and commercial centre within the city of Maple Ridge in British Columbia, Canada.
-
B.
Baney
Baney is a small town and district capital located on Bioko Island in Equatorial Guinea.
-
C.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0c177081909178dec61b09c278 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a2c75c819093765eb9d0d2377e |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.