Triple
T20586342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tigger Movie |
E505796
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Eeyore |
—
|
NE NERFINISHED |
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: Eeyore | Statement: [The Tigger Movie, featuresCharacter, Eeyore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eeyore Context triple: [The Tigger Movie, featuresCharacter, Eeyore]
-
A.
Eeyore
chosen
Eeyore is a gloomy, pessimistic, yet endearing stuffed donkey from the Winnie-the-Pooh stories.
-
B.
Pooh
Pooh is a small town in the Kinnaur district of Himachal Pradesh, India, known as a remote Himalayan settlement near the India–China border.
-
C.
Piglet
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.
-
D.
Rowlf the Dog
Rowlf the Dog is a laid-back, piano-playing Muppet known for his dry humor and loyal, easygoing personality.
-
E.
Winnie-the-Pooh
Winnie-the-Pooh is a classic children's character created by A. A. Milne, known as a lovable, honey-obsessed bear who lives in the Hundred Acre Wood with his animal friends.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a976bca4819086a4949e299159b5 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.