Triple
T21352169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Rossi |
E526512
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Troy Kotsur |
—
|
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: Troy Kotsur | Statement: [Frank Rossi, portrayedBy, Troy Kotsur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Kotsur Context triple: [Frank Rossi, portrayedBy, Troy Kotsur]
-
A.
Troy Kotsur
chosen
Troy Kotsur is an American deaf actor best known for his Academy Award–winning performance in the film "CODA."
-
B.
Michael Arden
Michael Arden is an American actor and Tony-nominated director known for his innovative, inclusive revivals of major Broadway musicals.
-
C.
Orson Cox
Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
-
D.
Curtis Hudson
Curtis Hudson was an American songwriter best known for co-writing Madonna’s hit song “Holiday.”
-
E.
Pablo Schreiber
Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad33b3388190b9bc8dd5343e5a86 |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:04 p.m.