Triple
T5228031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnie the Pooh (Disney songs) |
E118039
|
entity |
| Predicate | associatedCharacter |
P12208
|
FINISHED |
| Object | Piglet |
E352810
|
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: Piglet | Statement: [Winnie the Pooh (Disney songs), associatedCharacter, Piglet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piglet Context triple: [Winnie the Pooh (Disney songs), associatedCharacter, Piglet]
-
A.
Piglet
chosen
Piglet is a timid yet loyal and kind-hearted little pig who is one of Winnie-the-Pooh’s closest friends in the Hundred Acre Wood.
-
B.
Eeyore
Eeyore is a gloomy, pessimistic, yet endearing stuffed donkey from the Winnie-the-Pooh stories.
-
C.
Pigwidgeon
Pigwidgeon is Ron Weasley's tiny, hyperactive owl in the Harry Potter series, known for his enthusiasm and somewhat annoying exuberance.
-
D.
Porco
Porco is a popular nickname for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and traditional football clubs.
-
E.
Thumper
Thumper is the cheerful, talkative rabbit who serves as Bambi’s playful best friend and comic relief in Disney’s classic animated film.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adee36881909b034b8735db9d67 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef809189c8190b61bd386480c0222 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:48 p.m.