Triple
T6975293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leahy |
E161701
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Leehy |
E627675
|
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: Leehy | Statement: [Leahy, hasVariant, Leehy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leehy Context triple: [Leahy, hasVariant, Leehy]
-
A.
Lee
Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
-
B.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
C.
Lhee
Lhee is a small village in the Dutch province of Drenthe, known for its rural character and proximity to the Dwingelderveld National Park.
-
D.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
E.
Healy
chosen
Healy is an Irish surname commonly associated with notable figures in politics, entertainment, and sports.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3d3ab08190b107f3229c357dd2 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a6bbdc81908c96871f151db279 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:31 p.m.