Triple
T21994448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Stay With Me" (Into the Woods song) |
E543168
|
entity |
| Predicate | associatedCharacterRelationship |
P37304
|
FINISHED |
| Object | Witch–Rapunzel relationship |
—
|
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: Witch–Rapunzel relationship | Statement: ["Stay With Me" (Into the Woods song), associatedCharacterRelationship, Witch–Rapunzel relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCharacterRelationship Context triple: ["Stay With Me" (Into the Woods song), associatedCharacterRelationship, Witch–Rapunzel relationship]
-
A.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
B.
characterActorRelationship
Indicates a relationship where an actor portrays or is associated with a specific character in a work.
-
C.
relatedCharacter
chosen
Indicates that one character has a specified relationship or association with another character.
-
D.
relationshipCharacterizedAs
Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
-
E.
portraysCharacterRelationship
Indicates that one entity depicts or represents the relationship between characters in another entity.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127639bf48190800b3fa3c1527983 |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:18 p.m.