Triple
T20285479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam and Eric |
E509863
|
entity |
| Predicate | relationshipWithOtherCharacters |
P81113
|
FINISHED |
| Object | supporters of Ralph’s leadership at first |
—
|
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: supporters of Ralph’s leadership at first | Statement: [Sam and Eric, relationshipWithOtherCharacters, supporters of Ralph’s leadership at first]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithOtherCharacters Context triple: [Sam and Eric, relationshipWithOtherCharacters, supporters of Ralph’s leadership at first]
-
A.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
B.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
C.
relatedCharacterContext
chosen
Indicates a contextual relationship between characters, such as roles, interactions, or situational connections that link them within a specific narrative or setting.
-
D.
characterActorRelationship
Indicates a relationship where an actor portrays or is associated with a specific character in a work.
-
E.
fictionalRelationship
Indicates a relationship that exists only within a fictional or imagined context between entities.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676924f48819095f6224c8d9bb257 |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:06 a.m.