Triple
T36278711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clay Bellinger |
E892877
|
entity |
| Predicate | CodyBellingerRelationship |
P185089
|
FINISHED |
| Object | father |
—
|
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: father | Statement: [Clay Bellinger, CodyBellingerRelationship, father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CodyBellingerRelationship Context triple: [Clay Bellinger, CodyBellingerRelationship, father]
-
A.
spouseOfTeam
Indicates that one entity is the spouse of a member of the specified team.
-
B.
relationshipToEvanHansen
Indicates the type or nature of a person's relationship or connection to Evan Hansen.
-
C.
relationshipTypeWithShelbyCarpenter
Indicates the specific nature or category of relationship that an entity has with Shelby Carpenter.
-
D.
relationshipTypeWithMarcus Brewer
Indicates the specific nature or category of relationship that an entity has with Marcus Brewer.
-
E.
spouseOfSportsFigure
Indicates a marital relationship where one person is the spouse of a sports figure.
- F. None of above. chosen
Provenance (4 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.