Triple
T17012573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonya Tayeh |
E412736
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sonya Tayeh |
E412736
|
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: Sonya Tayeh | Statement: [Sonya Tayeh, name, Sonya Tayeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonya Tayeh Context triple: [Sonya Tayeh, name, Sonya Tayeh]
-
A.
Sonya Tayeh
chosen
Sonya Tayeh is an American choreographer known for her bold, athletic, and emotionally charged work on stage and television, including award-winning Broadway productions.
-
B.
Necar Zadegan
Necar Zadegan is an Iranian-American actress known for her prominent television roles, including a lead part on the crime drama series NCIS: New Orleans.
-
C.
Pooran Farrokhzad
Pooran Farrokhzad is an Iranian writer and literary figure, known for her contributions to Persian literature and for being part of the prominent Farrokhzad artistic family.
-
D.
Parvin Ardalan
Parvin Ardalan is an Iranian feminist writer and human rights activist known for her leading role in Iran’s women’s rights movement.
-
E.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47cc17c819087f7bd27582bcbfa |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4990948190861ff81f8fc3e8f2 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:33 a.m.