Triple
T1556788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisyphus |
E33222
|
entity |
| Predicate | fatherInstanceOf |
P1908
|
FINISHED |
| Object | king of Thessaly |
—
|
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: king of Thessaly | Statement: [Sisyphus, fatherInstanceOf, king of Thessaly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherInstanceOf Context triple: [Sisyphus, fatherInstanceOf, king of Thessaly]
-
A.
fatherFrom
chosen
Indicates a parental relationship where one entity is the biological or legal father of another entity.
-
B.
fatherInLaw
Indicates a relationship where one person is the father of another person's spouse or the spouse of someone's parent.
-
C.
stepfatherOf
Indicates that one person is the male spouse or partner of a child's parent, but is not the child's biological or adoptive father.
-
D.
ancestorMother
Indicates that one entity is a female ancestor (mother, grandmother, etc.) of another entity in a family lineage.
-
E.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.