Triple
T2129784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Summer |
E46509
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Jaime King |
E237848
|
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: Jaime King | Statement: [Black Summer, portrayedBy, Jaime King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaime King Context triple: [Black Summer, portrayedBy, Jaime King]
-
A.
Jaime King
chosen
Jaime King is an American actress and former fashion model known for her roles in films like "Sin City" and the television series "Hart of Dixie."
-
B.
Ciarán Hinds
Ciarán Hinds is an Irish actor known for his versatile performances in film, television, and theatre, with notable roles in works such as "Rome," "There Will Be Blood," and "Game of Thrones."
-
C.
Anson Mount
Anson Mount is an American actor best known for his leading roles in television dramas such as Hell on Wheels and Star Trek: Discovery/Strange New Worlds.
-
D.
Rufus Sewell
Rufus Sewell is a British actor known for his intense screen presence and roles in films like "Dark City," "A Knight’s Tale," and numerous period dramas and television series.
-
E.
Richard Gant
Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb77ccc4819087bee5dbb91b5ae8 |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7ef2dda08190b55919f0df935a6d |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:44 p.m.