Triple
T19886771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritual |
E477918
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | David Pinner |
—
|
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: David Pinner | Statement: [Ritual, author, David Pinner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Pinner Context triple: [Ritual, author, David Pinner]
-
A.
David Pinner
chosen
David Pinner is a British author and playwright best known for his 1967 novel "Ritual," which served as a major inspiration for the cult horror film "The Wicker Man" (1973).
-
B.
Peter Denny
Peter Denny was a prominent 19th-century Scottish shipbuilder and businessman known for helping establish one of the leading shipbuilding firms on the River Clyde.
-
C.
Sam Pilling
Sam Pilling is a British director known for his visually inventive and narrative-driven music videos for prominent contemporary artists.
-
D.
Phil Davies
Phil Davies is a British television producer best known for his work on the popular animated children's series "Peppa Pig."
-
E.
Piers Murray
Piers Murray is the son of British film and stage actress Phyllis Calvert.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65909fe0481908e22b60d04fe2b11 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.