Triple
T10256557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Kinney |
E240483
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Facelift |
E142463
|
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: Facelift | Statement: [Sean Kinney, notableWork, Facelift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Facelift Context triple: [Sean Kinney, notableWork, Facelift]
-
A.
Facelift
chosen
"Facelift" is the 1990 debut studio album by American rock band Alice in Chains, widely recognized for helping to pioneer the grunge and alternative metal sound of the early 1990s.
-
B.
About Face
"About Face" is a 1952 American military comedy film starring William Tracy, known for its lighthearted portrayal of army life.
-
C.
Lifted
Lifted is a music producer known for working on the hit song "Cruel Summer."
-
D.
Lifted
Lifted is a 2006 Pixar animated short film that humorously depicts a novice alien’s clumsy attempt to abduct a sleeping human under the watchful eye of his stern instructor.
-
E.
Lifted
"Lifted" is a work authored by Mercy, likely a literary or creative piece such as a book, story, or script.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24d299881909615872e2777bdea |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7d7ff0c8190b8c9cf063532cdf2 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:30 a.m.