Triple
T37136785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finn DeTrolio |
E919984
|
entity |
| Predicate | familyConnectionThroughRelationship |
P89441
|
FINISHED |
| Object | Soprano family |
—
|
NE NERFINISHED |
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: Soprano family | Statement: [Finn DeTrolio, familyConnectionThroughRelationship, Soprano family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyConnectionThroughRelationship Context triple: [Finn DeTrolio, familyConnectionThroughRelationship, Soprano family]
-
A.
familyConnectionTo
chosen
Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
-
B.
familyAssociationWith
Indicates a familial relationship or connection exists between the referenced entities.
-
C.
addressesRelationship
Indicates that one entity directs communication, remarks, or attention specifically toward another entity.
-
D.
relationshipNetwork
Indicates a connection between entities that are linked through a web of relationships, often capturing how they are associated or interact within a broader network.
-
E.
familyRelationTheme
Indicates that one entity is the thematic focus or topic within a family relationship involving another entity.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 3, 2026, 4:15 p.m.