Triple
T12259464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once Upon a Time |
E292183
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Oak |
E199639
|
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: Oak | Statement: [Once Upon a Time, producer, Oak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oak Context triple: [Once Upon a Time, producer, Oak]
-
A.
Oak
chosen
Oak is the professional name of Warren “Oak” Felder, a Grammy-nominated songwriter and record producer known for his work with major contemporary pop and R&B artists.
-
B.
Red Oak
Red Oak is a small city in southwestern Iowa known as the administrative and commercial center of Montgomery County.
-
C.
Red Oak
Red Oak is a small suburban community in the Dallas–Fort Worth metropolitan area known for its residential neighborhoods and proximity to the city of Dallas.
-
D.
Oaks
Oaks was the nickname of the Oakland Oaks, a historic professional baseball team that played in the Pacific Coast League.
-
E.
Beech
Beech is a small rural village and civil parish in East Hampshire, England, known for its wooded surroundings and residential character.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ac1b5148190838b782848e3fa36 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.