Triple
T31709535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Williams |
E809278
|
entity |
| Predicate | hasScreenSiblingRelationshipType |
P130501
|
FINISHED |
| Object | older brother |
—
|
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: older brother | Statement: [Shawn Williams, hasScreenSiblingRelationshipType, older brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenSiblingRelationshipType Context triple: [Shawn Williams, hasScreenSiblingRelationshipType, older brother]
-
A.
onScreenSibling
Indicates that two characters are depicted as siblings within an on-screen or fictional context.
-
B.
hasSiblingType
chosen
Indicates that one entity has another entity as a sibling, specifying the type or category of that sibling relationship.
-
C.
hasSisterRelationshipType
Indicates that there exists a sister-type familial relationship between the related entities.
-
D.
onScreenSiblingActor
Indicates that two actors have portrayed siblings in the same on-screen production.
-
E.
hasSiblingAspect
Indicates that one entity possesses a characteristic, feature, or aspect that is conceptually parallel or analogous to a corresponding aspect of another entity, as in a sibling-like relationship between their attributes.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: April 30, 2026, 11:15 p.m.