Triple
T2532497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flintstones |
E56192
|
entity |
| Predicate | featuresCharacterRelationship |
P37304
|
FINISHED |
| Object | Fred Flintstone and Barney Rubble as best friends |
—
|
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: Fred Flintstone and Barney Rubble as best friends | Statement: [The Flintstones, featuresCharacterRelationship, Fred Flintstone and Barney Rubble as best friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCharacterRelationship Context triple: [The Flintstones, featuresCharacterRelationship, Fred Flintstone and Barney Rubble as best friends]
-
A.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
B.
relatedCharacter
chosen
Indicates that one character has a specified relationship or association with another character.
-
C.
fictionalRelationship
Indicates a relationship that exists only within a fictional or imagined context between entities.
-
D.
portraysRelationship
Indicates that one entity depicts, represents, or illustrates a relationship between other entities.
-
E.
hasProtagonistRelationship
Indicates that there exists a central, story-driving relationship involving the protagonist and another entity within a narrative.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd279cf108190b03fb6e0265f39d9 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.