Triple
T9995046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaimie Alexander |
E197180
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Rest Stop |
E834503
|
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: Rest Stop | Statement: [Jaimie Alexander, appearedIn, Rest Stop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rest Stop Context triple: [Jaimie Alexander, appearedIn, Rest Stop]
-
A.
Rest Stop
chosen
"Rest Stop" is a 2006 American horror film, notable as an early starring vehicle for actress Jaimie Alexander, about a young woman terrorized at an isolated roadside rest area.
-
B.
Rest
Rest is a 2017 studio album by French-British artist Charlotte Gainsbourg that blends intimate, melancholic songwriting with atmospheric pop production.
-
C.
Rest
Rest is a song featured on Green Day’s compilation album "1,039/Smoothed Out Slappy Hours."
-
D.
Stop
"Stop" is a 1998 upbeat pop single by the Spice Girls, known for its Motown-inspired sound and catchy choreography.
-
E.
Stop
"Stop" is a comedic musical number from the stage adaptation of Mean Girls in which characters are urged to pause and think before acting impulsively.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb99ac74819091f20816478ea375 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a2bc4f081909595afcc2c862eda |
completed | April 5, 2026, 1:56 p.m. |
Created at: March 30, 2026, 8:50 p.m.