Triple
T17335170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezra Bridger |
E420917
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Eman Esfandi |
—
|
NE ONNED1 |
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: Eman Esfandi | Statement: [Ezra Bridger, portrayedBy, Eman Esfandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eman Esfandi Context triple: [Ezra Bridger, portrayedBy, Eman Esfandi]
-
A.
Eman Esfandi
chosen
Eman Esfandi is an American actor best known for portraying Ezra Bridger in the live-action Star Wars series "Ahsoka."
-
B.
Ali Mosaffa
Ali Mosaffa is a prominent Iranian actor and filmmaker known for his nuanced performances in art-house cinema and his work in acclaimed films such as "Leila" and "The Past."
-
C.
Mani Haghighi
Mani Haghighi is an acclaimed Iranian filmmaker and screenwriter known for his darkly comic, genre-bending films that critique contemporary Iranian society.
-
D.
Shervin Alenabi
Shervin Alenabi is an actor best known for his role in the espionage thriller television series "Tehran."
-
E.
Mehdi Hatamian
Mehdi Hatamian is an electrical engineer and technologist recognized for his influential contributions to high-speed integrated circuits and signal processing, for which he has received major industry honors.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a1125d88190b67243b30d93ce1c |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019550d3bc8190bda76e83edc81063 |
finalizing | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.