Triple
T9371706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather |
E225544
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Heath |
E59214
|
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: Heath | Statement: [Heather, hasDiminutive, Heath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heath Context triple: [Heather, hasDiminutive, Heath]
-
A.
Heath
Heath is a small community located within Covington County in the state of Alabama, United States.
-
B.
Heath
chosen
Heath is a common English surname borne by various notable figures, including former UK Prime Minister Edward Heath.
-
C.
Heage
Heage is a village in Derbyshire, England, best known for its historic stone tower windmill and rural setting.
-
D.
Healey
Healey is a locality or district that forms part of the town of Whitworth in England.
-
E.
Healey
Healey is a surname of Irish origin borne by various notable individuals in politics, sports, and the arts.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5083cbb8819088e8cef26be1b380 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f41a6ca4819092bae8640136e964 |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:43 p.m.