Triple
T5342815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margin Call |
E123982
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Zachary Quinto |
E119265
|
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: Zachary Quinto | Statement: [Margin Call, producer, Zachary Quinto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zachary Quinto Context triple: [Margin Call, producer, Zachary Quinto]
-
A.
Zachary Quinto
chosen
Zachary Quinto is an American actor best known for his roles as Spock in the rebooted Star Trek film series and Sylar in the television series Heroes.
-
B.
James Marsden
James Marsden is an American actor known for his roles in films like the X-Men series, Enchanted, and Hairspray, as well as prominent television work.
-
C.
Karl Urban
Karl Urban is a New Zealand actor known for roles in major franchises such as The Lord of the Rings, Star Trek, and The Boys.
-
D.
Jack Shepherd
Jack Shepherd is a British actor known for his extensive work in film, television, and theatre, including roles in productions such as "Charlotte Gray."
-
E.
Victor Garber
Victor Garber is a Canadian actor and singer known for his versatile performances in film, television, and theater, including notable roles in productions like "Titanic," "Alias," and numerous Broadway musicals.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cc5a9881909e23bf9c5b697a8e |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18cc387c8190a9fe430fe5bb38ce |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2:01 p.m.