Triple
T31721791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella Turk |
E809601
|
entity |
| Predicate | relativeTypeToJ.D. |
P94755
|
FINISHED |
| Object | goddaughter |
—
|
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: goddaughter | Statement: [Isabella Turk, relativeTypeToJ.D., goddaughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeTypeToJ.D. Context triple: [Isabella Turk, relativeTypeToJ.D., goddaughter]
-
A.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
B.
InType
Indicates that an entity belongs to, is categorized under, or is an instance of a specified type or class.
-
C.
referenceType
Indicates the specific kind or category of reference relationship that one entity has to another.
-
D.
relationshipToRelative
chosen
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
E.
hasRelationshipTypeWith Indiana Jones
Indicates that there exists a specific type of interpersonal or contextual relationship between an entity and Indiana Jones.
- 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:18 p.m.