Triple
T33739517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bubble |
E864520
|
entity |
| Predicate | relationshipToEdinaMonsoon |
P206661
|
FINISHED |
| Object | employee |
—
|
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: employee | Statement: [Bubble, relationshipToEdinaMonsoon, employee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToEdinaMonsoon Context triple: [Bubble, relationshipToEdinaMonsoon, employee]
-
A.
loyaltyToEdinaMonsoon
Indicates a relationship in which an entity shows steadfast support, allegiance, or devotion specifically toward Edina Monsoon.
-
B.
monsoonDependent
Indicates that the occurrence, intensity, or outcome of something is contingent on or significantly influenced by monsoon conditions.
-
C.
relationshipToEdd
Indicates the specific type of relationship or connection that an entity has to Edd.
-
D.
relationshipToSirEdwardDenham
Indicates the specific familial, social, or personal connection an entity has to Sir Edward Denham.
-
E.
relationshipToCoraMunro
Indicates the specific type of personal or social relationship an entity has with Cora Munro.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:44 a.m.