Triple
T29479759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Know You Like It |
E747746
|
entity |
| Predicate | remixCharacter |
P167221
|
FINISHED |
| Object | heavier bass |
—
|
LITERAL 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: heavier bass | Statement: [You Know You Like It, remixCharacter, heavier bass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remixCharacter Context triple: [You Know You Like It, remixCharacter, heavier bass]
-
A.
characterNameChange
Indicates that an entity’s character has undergone a change from one name to another.
-
B.
characterRoleSwap
Indicates a relationship where two characters exchange or assume each other’s narrative roles or functions within a story or scenario.
-
C.
replacesCharacterInRole
Indicates that one character takes over and performs the same role previously held by another character.
-
D.
franchiseCharacterCreator
Indicates that an entity is the creator or originator of a character that belongs to a particular franchise.
-
E.
characterGenerator
Indicates a relationship where an entity produces, defines, or initializes characters or character data for use in another context.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bd865c88190a71da0037da02ba5 |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 4:03 p.m.