Triple
T14508320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enron: The Smartest Guys in the Room |
E340325
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Susan Motamed |
E340325
|
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: Susan Motamed | Statement: [Enron: The Smartest Guys in the Room, producer, Susan Motamed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Motamed Context triple: [Enron: The Smartest Guys in the Room, producer, Susan Motamed]
-
A.
Susan Motamed
chosen
Susan Motamed is a film producer best known for her work on the acclaimed documentary "Enron: The Smartest Guys in the Room."
-
B.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
-
C.
Sia Alipour
Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
-
D.
Marya Mojtahed-Zadeh
Marya Mojtahed-Zadeh is an Iranian academic and political figure best known as the wife of former Iranian foreign minister Mohammad Javad Zarif.
-
E.
Sarah Solemani
Sarah Solemani is a British actress and writer known for her roles in television comedies like "Him & Her" and "Bad Education" as well as various film and stage performances.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da26a308190bf86ed1edbe8d57e |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.