Triple
T13725493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey & Sylvia |
E329142
|
entity |
| Predicate | performerOf |
P1363
|
FINISHED |
| Object | Dearest |
E1058450
|
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: Dearest | Statement: [Mickey & Sylvia, performerOf, Dearest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dearest Context triple: [Mickey & Sylvia, performerOf, Dearest]
-
A.
Dearest
Dearest is a character appearing in the 1921 silent film adaptation of "Little Lord Fauntleroy."
-
B.
Dearest
chosen
"Dearest" is a rhythm and blues song recorded by the American duo Mickey & Sylvia, known for their smooth vocal harmonies and guitar work in the 1950s.
-
C.
Darling
Darling is a character played by Eiza González in the action film "Baby Driver," known as a stylish and dangerous bank robber and the girlfriend of fellow criminal Buddy.
-
D.
Darling
Darling is a surname most prominently associated with Ron Darling, a former Major League Baseball pitcher and current television baseball analyst.
-
E.
Darling
Darling is a residential suburb in Melbourne, Victoria, known for its local train station on the Glen Waverley railway line and its proximity to the city.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84a2ed481909005720b0531e585 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.