Triple
T20360785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rainbow (1989 film) |
E496772
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Peter Davies |
—
|
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: Peter Davies | Statement: [The Rainbow (1989 film), editor, Peter Davies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Davies Context triple: [The Rainbow (1989 film), editor, Peter Davies]
-
A.
Peter Davies
chosen
Peter Davies is a film editor best known for his work on the James Bond movie "A View to a Kill."
-
B.
Peter Davies
Peter Davies was a British publishing house known for issuing notable literary works, including mid-20th-century fiction and historical novels.
-
C.
Phil Davies
Phil Davies is a British television producer best known for his work on the popular animated children's series "Peppa Pig."
-
D.
David A. Davies
David A. Davies is a screenwriter best known for his work on the horror film "Buried Alive."
-
E.
Peter Richens
Peter Richens was a British comedy writer best known for his long-running collaboration with The Comic Strip team, helping shape the alternative comedy boom in the UK.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678584294819093788ccf2fb8e588 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.