Triple
T12919682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally |
E309081
|
entity |
| Predicate | relationshipToDrFinkelstein |
P54228
|
FINISHED |
| Object | creation |
—
|
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: creation | Statement: [Sally, relationshipToDrFinkelstein, creation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDrFinkelstein Context triple: [Sally, relationshipToDrFinkelstein, creation]
-
A.
relationshipToDoctor
chosen
Indicates the specific personal or professional connection an individual has with a doctor (e.g., self, spouse, parent, guardian, colleague).
-
B.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
C.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
D.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
E.
relationToTheIndependent
Indicates a relationship in which one entity is connected or relevant to another entity that is designated as independent.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.