Triple
T2451250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemon Breeland |
E53708
|
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: [Lemon Breeland, portrayedBy, Jaime King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaime King Context triple: [Lemon Breeland, 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.
Colin Morgan
Colin Morgan is a Northern Irish actor best known for his title role in the BBC fantasy series "Merlin" and various acclaimed stage and screen performances.
-
C.
Rex Ludwick
Rex Ludwick is a country music drummer best known for his work with Willie Nelson, including performances on the "Honeysuckle Rose" soundtrack.
-
D.
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."
-
E.
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.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f402b48190b871b2475983af7e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b77207481909037a6ab4b420168 |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:43 p.m.