Triple
T36127086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfe Brothers trilogy |
E1044909
|
entity |
| Predicate | hasSiblingRelationshipBetweenCharacters |
P180447
|
FINISHED |
| Object | Cameron Wolfe and Ruben Wolfe |
—
|
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: Cameron Wolfe and Ruben Wolfe | Statement: [Wolfe Brothers trilogy, hasSiblingRelationshipBetweenCharacters, Cameron Wolfe and Ruben Wolfe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingRelationshipBetweenCharacters Context triple: [Wolfe Brothers trilogy, hasSiblingRelationshipBetweenCharacters, Cameron Wolfe and Ruben Wolfe]
-
A.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
-
B.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
C.
hasBrotherCharacter
chosen
Indicates that one character has another character who is their brother.
-
D.
basedOnCharactersRelationship
Indicates that something is determined or derived from the relationship between the characters involved.
-
E.
hasSiblingRelationshipDynamic
Indicates that there exists a sibling relationship between two entities that may change over time or be context-dependent (e.g., due to dynamic family or grouping structures).
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: May 3, 2026, 4:08 p.m.