Triple
T33300040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dexter (main title theme) |
E852553
|
entity |
| Predicate | isNonDiegeticMusicFor |
P177394
|
FINISHED |
| Object | Dexter (TV series) |
—
|
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: Dexter (TV series) | Statement: [Dexter (main title theme), isNonDiegeticMusicFor, Dexter (TV series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonDiegeticMusicFor Context triple: [Dexter (main title theme), isNonDiegeticMusicFor, Dexter (TV series)]
-
A.
hasDiegeticUse
Indicates that something is used or occurs within the narrative world itself, as experienced by the characters (i.e., it is diegetic).
-
B.
isNonInstrumental
Indicates that the relationship or action occurs without using an instrument, tool, or intermediary means.
-
C.
hasSoundtrackCharacteristic
Indicates that a soundtrack possesses a specified quality, feature, or attribute.
-
D.
isSoundtrackOf
Indicates that a piece of music or collection of music serves as the soundtrack for a particular work, such as a film, game, or show.
-
E.
isRecordedMusicFor
Indicates that one entity is music that has been recorded specifically to accompany, represent, or be used with another entity (such as a work, event, or medium).
- F. None of above. chosen
Provenance (4 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:33 a.m.