Triple
T10055865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persenet |
E208858
|
entity |
| Predicate | uncertainRelationship |
P62578
|
FINISHED |
| Object | exact parentage unknown |
—
|
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: exact parentage unknown | Statement: [Persenet, uncertainRelationship, exact parentage unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uncertainRelationship Context triple: [Persenet, uncertainRelationship, exact parentage unknown]
-
A.
hasUncertainAffinityWith
Indicates a relationship where the strength, nature, or existence of affinity between two entities is unclear, variable, or not confidently established.
-
B.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
C.
hasUncertainNature
chosen
Indicates that the nature, status, or characteristics of the relationship or situation are not clearly defined, known, or determined.
-
D.
proposedRelationship
Indicates that one entity has suggested or put forward the possibility of entering into a specific type of relationship with another entity.
-
E.
inceptionRelation
Indicates the originating event, source, or initial cause from which another entity, process, or state begins or comes into existence.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfacacd08190abe66f8bb17b92c7 |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:57 p.m.