Triple
T23406442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol (2015 film) |
E559946
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | John Magaro |
—
|
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: John Magaro | Statement: [Carol (2015 film), castMember, John Magaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Magaro Context triple: [Carol (2015 film), castMember, John Magaro]
-
A.
John Magaro
chosen
John Magaro is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Big Short," "First Cow," and various Broadway productions.
-
B.
Giovanni Ribisi
Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
-
C.
Matthew Daddario
Matthew Daddario is an American actor best known for his role as Alec Lightwood on the television series "Shadowhunters."
-
D.
Eriq La Salle
Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
-
E.
Cheyenne Jackson
Cheyenne Jackson is an American actor and singer known for his work on Broadway and in television series such as "30 Rock," "Glee," and "American Horror Story."
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a50e607c8190ba0a22e89862a2d9 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:38 p.m.