Triple
T14527068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fauna |
E340805
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object | Merryweather |
E340806
|
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: Merryweather | Statement: [Fauna, closeTo, Merryweather]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merryweather Context triple: [Fauna, closeTo, Merryweather]
-
A.
Merryweather
chosen
Merryweather is the spirited blue fairy in Disney's "Sleeping Beauty," known for her protective magic and quick-witted defiance of Maleficent.
-
B.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
C.
Brightwell
Brightwell is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
D.
Wiggin
Wiggin is a surname most notably associated with individuals such as former American football player and coach Paul Wiggin.
-
E.
Brinsley
Brinsley is the middle name of the renowned Irish playwright and politician Richard Brinsley Sheridan, best known for works like "The School for Scandal."
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a52260881909a0d85603666107d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.