Triple
T20472636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudderless |
E502229
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Kayla Emter |
—
|
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: Kayla Emter | Statement: [Rudderless, editedBy, Kayla Emter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayla Emter Context triple: [Rudderless, editedBy, Kayla Emter]
-
A.
Kayla Emter
chosen
Kayla Emter is a film editor best known for her work on the crime drama film "Hustlers."
-
B.
Kayla Reeves
Kayla Reeves is an American rock vocalist best known for her performances as a singer with the symphonic rock group Trans-Siberian Orchestra.
-
C.
Kaylee DeFer
Kaylee DeFer is an American actress best known for her television roles in series such as "The War at Home" and "Gossip Girl."
-
D.
Kayla Compton
Kayla Compton is an American actress best known for her role as Allegra Garcia on the superhero television series "The Flash."
-
E.
Kaitlyn Robrock
Kaitlyn Robrock is an American voice actress best known for portraying iconic animated characters, including serving as the current voice of Minnie Mouse for Disney.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69962d810819091bb13fe73250e24 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.