Triple
T20586817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hundred Acre Wood |
E505808
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Eeyore’s Gloomy Place |
—
|
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’s Gloomy Place | Statement: [Hundred Acre Wood, hasFeature, Eeyore’s Gloomy Place]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eeyore’s Gloomy Place Context triple: [Hundred Acre Wood, hasFeature, Eeyore’s Gloomy Place]
-
A.
Eeyore
chosen
Eeyore is a gloomy, pessimistic, yet endearing stuffed donkey from the Winnie-the-Pooh stories.
-
B.
Griffin's Roost
Griffin's Roost is the ancestral castle of House Connington in the Stormlands of Westeros, overlooking the Sea of Dorne.
-
C.
Hundred Acre Wood
Hundred Acre Wood is the idyllic, fictional forest setting of A. A. Milne’s Winnie-the-Pooh stories, home to Pooh, Tigger, and their friends.
-
D.
Burrow
Burrow is a surname of English origin borne by various individuals, including Harriet Burrow.
-
E.
Skarloey
Skarloey is a narrow-gauge steam locomotive character from *The Railway Series* and *Thomas & Friends*, known for his age, wisdom, and work on the Skarloey Railway.
- 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_69e6a977fb18819085fee5cf5d45c1b0 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.