Triple
T22557408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clymene (daughter of Catreus) |
E557723
|
entity |
| Predicate | kingdomFamily |
P9023
|
FINISHED |
| Object | royal family of Crete |
—
|
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: royal family of Crete | Statement: [Clymene (daughter of Catreus), kingdomFamily, royal family of Crete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kingdomFamily Context triple: [Clymene (daughter of Catreus), kingdomFamily, royal family of Crete]
-
A.
kingdom
Indicates that an entity is classified within a particular biological kingdom in a taxonomic hierarchy.
-
B.
rulingHouse
chosen
Indicates that one entity serves as the dynastic or noble family that holds ruling authority over another entity, such as a state, territory, or polity.
-
C.
royalTribe
Indicates that an entity belongs to, descends from, or is associated with a tribe that holds royal or ruling status.
-
D.
relatedRoyalHouse
Indicates a relationship where one royal house is historically, genealogically, or politically connected to another royal house.
-
E.
royalHouseType
Indicates the specific kind or category of royal house associated with an entity (e.g., dynasty, ruling family type, or royal lineage classification).
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.