Triple
T17177893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabesque (1966 film) |
E416907
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Alan Badel |
E350236
|
NE FINISHED |
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: Alan Badel | Statement: [Arabesque (1966 film), starring, Alan Badel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Badel Context triple: [Arabesque (1966 film), starring, Alan Badel]
-
A.
Alan Badel
chosen
Alan Badel was a British actor known for his distinctive voice and prominent roles in mid-20th-century film, television, and theatre.
-
B.
Allen Daviau
Allen Daviau was an acclaimed American cinematographer best known for his visually rich collaborations with director Steven Spielberg on films such as E.T. the Extra-Terrestrial.
-
C.
Guy Billout
Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
-
D.
Robert Dalban
Robert Dalban was a French character actor known for his prolific work in mid-20th-century French cinema, often appearing in supporting and comedic roles.
-
E.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148455afc8190931ba1316705ae0c |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.