Triple
T10493609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haley |
E247478
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Healy |
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: Healy | Statement: [Haley, hasVariant, Healy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Healy Context triple: [Haley, hasVariant, Healy]
-
A.
Healy
chosen
Healy is an Irish surname commonly associated with notable figures in politics, entertainment, and sports.
-
B.
Ainley
Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
-
C.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
D.
Shealy
Shealy is a character in August Wilson's play "Jitney," known as a numbers runner who frequents the jitney station and adds humor and tension to the ensemble.
-
E.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcaeb6088190829b6c26eb1de7d5 |
completed | April 10, 2026, 11:19 a.m. |
Created at: April 6, 2026, 12:24 p.m.