Triple
T21778977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tale of Pigling Bland |
E537656
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Pigling Bland |
—
|
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: Pigling Bland | Statement: [The Tale of Pigling Bland, featuresCharacter, Pigling Bland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pigling Bland Context triple: [The Tale of Pigling Bland, featuresCharacter, Pigling Bland]
-
A.
Pigling Bland
chosen
Pigling Bland is a fictional pig character created by Beatrix Potter, featured as the protagonist of her children's story "The Tale of Pigling Bland."
-
B.
The Pig
The Pig is a colloquial nickname for the U.S. military’s M60 general-purpose machine gun, known for its heavy weight, high rate of fire, and extensive use during the Vietnam War.
-
C.
Podgy Pig
Podgy Pig is a plump, good-natured pig character who appears as one of Rupert Bear’s close friends in the classic British children’s stories.
-
D.
Pig-wig
Pig-wig is a spirited young pig character from Beatrix Potter’s children’s stories, known for her adventurous escape alongside Pigling Bland.
-
E.
Pig
"Pig" is a 2018 Iranian black comedy film directed by Mani Haghighi that satirizes the country’s film industry and censorship.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462bde288190beef8c4388949132 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.