Triple
T15897940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Sarafyan |
E385511
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Angela Sarafyan |
E385511
|
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: Angela Sarafyan | Statement: [Angela Sarafyan, name, Angela Sarafyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Sarafyan Context triple: [Angela Sarafyan, name, Angela Sarafyan]
-
A.
Angela Sarafyan
chosen
Angela Sarafyan is an Armenian-American actress known for her roles in film and television, including notable performances in projects like HBO's "Westworld."
-
B.
Katherine Sarafian
Katherine Sarafian is an American film producer best known for her work at Pixar Animation Studios, including producing the Academy Award–winning feature "Brave."
-
C.
Evangeline Mardirosian
Evangeline Mardirosian is a film producer known for her co-producing work on the movie "Daytona."
-
D.
Tedi Sarafian
Tedi Sarafian is an American screenwriter and film producer best known for his work on major action and science fiction films.
-
E.
Isabel Bayrakdarian
Isabel Bayrakdarian is an Armenian-Canadian operatic soprano acclaimed for her performances on international stages and her diverse repertoire spanning opera, concert, and recording projects.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563b0e4c8190b338672dfb122665 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04d4d1c819091d9b3357ca0deca |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.