Triple
T19628677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Unit 2 |
E471206
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Jeffrey Bell |
—
|
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: Jeffrey Bell | Statement: [Special Unit 2, executiveProducer, Jeffrey Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Bell Context triple: [Special Unit 2, executiveProducer, Jeffrey Bell]
-
A.
Jeffrey Bell
chosen
Jeffrey Bell is an American television writer and producer known for his work on genre series such as Angel, Alias, and Marvel's Agents of S.H.I.E.L.D.
-
B.
Stephen Graham
Stephen Graham is an English character actor known for his intense, often gritty performances in films and television series such as "This Is England," "Boardwalk Empire," and "The Irishman."
-
C.
Stephen Graham
Stephen Graham is the son of former Washington Post publisher Philip L. Graham and influential media executive Katharine Graham.
-
D.
Steven Hill
Steven Hill was an American actor best known for his roles on the television series "Mission: Impossible" and "Law & Order."
-
E.
Brian Garfield
Brian Garfield was an American novelist best known for writing the vigilante-themed novel that inspired the "Death Wish" film series.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641007e5881908da78e50aa36f340 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.