Triple
T16286129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Play |
E395391
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Sia Alipour |
E877120
|
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: Sia Alipour | Statement: [Fair Play, castMember, Sia Alipour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sia Alipour Context triple: [Fair Play, castMember, Sia Alipour]
-
A.
Sia Alipour
chosen
Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
-
B.
Soraya Taheri
Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
-
C.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
D.
Zahra Sadeghi
Zahra Sadeghi is an Iranian figure best known as the wife of former Iranian president Mohammad Khatami.
-
E.
Bahareh Azimi
Bahareh Azimi is a screenwriter best known for co-writing the 2014 American drama film "99 Homes."
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24914bda08190a5d6315414ee3f76 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017caaa448190a5034ddbd90d2fd5 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.