Triple
T21293141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezzatolah Entezami |
E524846
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Actor |
—
|
NE NERFINISHED |
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: The Actor | Statement: [Ezzatolah Entezami, notableWork, The Actor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Actor Context triple: [Ezzatolah Entezami, notableWork, The Actor]
-
A.
The Actor
The Actor is a 1904 painting by Pablo Picasso from his Rose Period, depicting an elegantly costumed figure in a stylized, theatrical pose.
-
B.
The Actor
The Actor was the nickname of Willie Sutton, a notorious American bank robber famed for his elaborate disguises and theatrical methods during heists.
-
C.
The Actor
The Actor is the iconic bronze statuette presented to winners of the Screen Actors Guild Awards, symbolizing excellence in film and television acting.
-
D.
The Actor
The Actor is a film produced by Neal Dodson, likely a character-driven drama or thriller centered on the life and struggles of a performer.
-
E.
The Actor
chosen
The Actor is a critically acclaimed Iranian film featuring Fatemeh Motamed-Arya in a prominent role, known for its nuanced exploration of performance and identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73855e5d08190aed5e285247b4e23 |
completed | April 21, 2026, 8:41 a.m. |
Created at: April 16, 2026, 4:04 p.m.