Triple
T6567656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haggerty |
E153951
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Haggarty |
E153951
|
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: Haggarty | Statement: [Haggerty, hasVariant, Haggarty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haggarty Context triple: [Haggerty, hasVariant, Haggarty]
-
A.
Haggerty
chosen
Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
-
B.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
C.
Holloway
Holloway is a district in the London Borough of Islington, England, known for its urban character and as the area surrounding Arsenal FC’s Emirates Stadium.
-
D.
Gateacre
Gateacre is a suburban district in south Liverpool, England, known for its historic village center and mix of Victorian and modern housing.
-
E.
Godehart
Godehart is a German given name, serving as a variant form of the name Gotthard.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae54afd4819091ee65aca1de60a9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d564cb908190bb8885e6c8d8abac |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:53 p.m.