Triple
T3358288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incredibles 2 |
E70656
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Mahyar Abousaeedi |
E256025
|
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: Mahyar Abousaeedi | Statement: [Incredibles 2, cinematographyBy, Mahyar Abousaeedi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahyar Abousaeedi Context triple: [Incredibles 2, cinematographyBy, Mahyar Abousaeedi]
-
A.
Mahyar Abousaeedi
chosen
Mahyar Abousaeedi is a cinematographer best known for his work on the Pixar animated film "Turning Red."
-
B.
Karim Khalili
Karim Khalili is an Afghan politician and former vice president who served as a prominent Hazara leader and key figure in the anti-Taliban resistance.
-
C.
Hossein Amini
Hossein Amini is an Iranian-British screenwriter and director known for his work on films such as "Drive," "The Wings of the Dove," and various literary adaptations.
-
D.
Mohammad Mohaqiq
Mohammad Mohaqiq is an Afghan Hazara political leader and former mujahideen commander who has played a prominent role in Afghanistan’s post-Taliban politics.
-
E.
Babak Hassibi
Babak Hassibi is an Iranian-American electrical engineer and information theorist known for his contributions to wireless communications, signal processing, and control theory, and for serving as a professor at the California Institute of Technology.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26523cc819091006fde7beb32e4 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3253e91988190bbfdafdf88ab0df1 |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.