Triple
T17930270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Redd |
E448312
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Disjointed |
—
|
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: Disjointed | Statement: [Chris Redd, performedIn, Disjointed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disjointed Context triple: [Chris Redd, performedIn, Disjointed]
-
A.
Disjointed
chosen
Disjointed is a Netflix comedy series centered on a Los Angeles cannabis dispensary run by a longtime legalization advocate and her eclectic staff.
-
B.
Disassociative
"Disassociative" is a dark, introspective track by Marilyn Manson that explores themes of alienation and psychological fragmentation on the album Mechanical Animals.
-
C.
Disconnected
"Disconnected" is a song by the English band Keane, known for its melancholic tone and cinematic music video exploring themes of emotional distance and relationship breakdown.
-
D.
Distracted
"Distracted" is a song by the American alternative metal band Helmet from their debut album "Strap It On."
-
E.
Unidis
Unidis is a film distribution company known for handling the release of notable European films such as Sergio Leone’s "A Fistful of Dollars."
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a551e1788190abad0d6a85ec55e1 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.