Triple
T17748219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legion (TV series) |
E443040
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Navid Negahban |
—
|
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: Navid Negahban | Statement: [Legion (TV series), starring, Navid Negahban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navid Negahban Context triple: [Legion (TV series), starring, Navid Negahban]
-
A.
Navid Negahban
chosen
Navid Negahban is an Iranian-American actor known for his roles in film and television, including prominent performances in series like "Homeland" and various Hollywood productions.
-
B.
Ali Soheili
Ali Soheili was an Iranian politician who served as prime minister during the early 1940s, a turbulent period marked by World War II and foreign occupation of Iran.
-
C.
Ramin Kousha
Ramin Kousha is a film composer best known for scoring the cult disaster movie "Sharknado."
-
D.
Ahmad Razvi
Ahmad Razvi is an American actor best known for his lead role in the independent film "Man Push Cart."
-
E.
Behdad Eghbali
Behdad Eghbali is an American private equity investor and co-founder of Clearlake Capital Group, known for major investments in sports, technology, and industrial companies.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad46a50819089c87f74efe3c7ca |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:10 a.m.