Triple
T35557825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remember You |
E1027548
|
entity |
| Predicate | basedOnCharacterBackstory |
P119461
|
FINISHED |
| Object | Marceline the Vampire Queen |
—
|
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: Marceline the Vampire Queen | Statement: [Remember You, basedOnCharacterBackstory, Marceline the Vampire Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCharacterBackstory Context triple: [Remember You, basedOnCharacterBackstory, Marceline the Vampire Queen]
-
A.
settingOfCharacterBackstory
Indicates the place or environment in which a character’s backstory events occur.
-
B.
roleInCharacterBackstory
chosen
Indicates that one entity plays a specific role or part in shaping another entity’s character backstory or personal history.
-
C.
characterBasedOn
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
D.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
-
E.
basedOnCharacterOccupation
Indicates that something is derived from, inspired by, or determined according to a character’s occupation or job role.
- F. None of above.
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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 3, 2026, 4:04 p.m.