Triple
T32296419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Columbato |
E825112
|
entity |
| Predicate | hasRelationshipTypeWithBirdy |
P203790
|
FINISHED |
| Object | intense friendship |
—
|
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: intense friendship | Statement: [Al Columbato, hasRelationshipTypeWithBirdy, intense friendship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationshipTypeWithBirdy Context triple: [Al Columbato, hasRelationshipTypeWithBirdy, intense friendship]
-
A.
relationshipToBirds
Indicates the nature or type of connection an entity has with birds, such as interaction, association, or relevance.
-
B.
hasRelationshipTypeWithRocky
Indicates that an entity has a specific type of relationship or connection with the entity named Rocky.
-
C.
hasSpeciesRelation
Indicates a biological or taxonomic relationship between entities based on their species classification.
-
D.
hasRelationshipTypeWithMerlin
Indicates that an entity has a specific type of relationship or connection with Merlin.
-
E.
hasRelationshipTypeWithBenBoykewich
Indicates that an entity has a specific type of relationship or connection with Ben Boykewich.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0204dafcc08190868a6f3eab162505 |
completed | May 11, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_6a0202dc60348190a140bb9da906f5b6 |
completed | May 11, 2026, 4:25 p.m. |
| PDg | Predicate description generation | batch_6a0204da26f4819087ff47e984810a6f |
completed | May 11, 2026, 4:33 p.m. |
Created at: May 1, 2026, 12:44 a.m.