Triple
T4330508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aladdin (2019 film) |
E96736
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Alan Stewart |
E175268
|
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 Stewart | Statement: [Aladdin (2019 film), cinematographer, Alan Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Stewart Context triple: [Aladdin (2019 film), cinematographer, Alan Stewart]
-
A.
Alan Stewart
chosen
Alan Stewart is a cinematographer known for his work on major feature films, including collaborations with director Guy Ritchie.
-
B.
Andrew Stewart
Andrew Stewart is an American lawyer and publisher best known as the former husband of lifestyle entrepreneur Martha Stewart.
-
C.
Donald Stewart
Donald Stewart was a British Indian Army general who played a prominent leadership role in the late 19th-century campaigns on the Northwest Frontier, including the Second Anglo-Afghan War.
-
D.
Garth Stevenson
Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
-
E.
Donald McAlpine
Donald McAlpine is an acclaimed Australian cinematographer known for his visually distinctive work on numerous prominent films across several decades.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09fad588190b488012b4fc6cb8c |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.