Triple
T14119327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter and the Wolf |
E339863
|
entity |
| Predicate | characterRepresentation |
P112886
|
FINISHED |
| Object | Duck |
E1080527
|
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: Duck | Statement: [Peter and the Wolf, characterRepresentation, Duck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duck Context triple: [Peter and the Wolf, characterRepresentation, Duck]
-
A.
Ducks
Ducks is the nickname for the University of Oregon’s athletic teams, most prominently its college football program.
-
B.
Ducks
Ducks are a type of waterfowl known for their webbed feet, broad bills, and frequent presence in ponds, lakes, and wetlands worldwide.
-
C.
the Duck
chosen
The Duck is a waddling, quacking bird character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the oboe in the orchestral score.
-
D.
Bico de Pato
Bico de Pato is a tight, slow-speed hairpin-style corner at Brazil’s Autódromo José Carlos Pace (Interlagos) known for heavy braking and overtaking opportunities.
-
E.
Muscovy duck
The Muscovy duck is a large, hardy duck species native to Central and South America, known for its distinctive red facial caruncles and widespread use in meat and egg production.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de609322ac8190bb389ca250882af5 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0641008190b88efacc02ba5314 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.