Triple
T35101365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leda and the Swan |
E1013025
|
entity |
| Predicate | hasHusbandOfLeda |
P182522
|
FINISHED |
| Object | Tyndareus |
—
|
NE NERFINISHED |
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: Tyndareus | Statement: [Leda and the Swan, hasHusbandOfLeda, Tyndareus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHusbandOfLeda Context triple: [Leda and the Swan, hasHusbandOfLeda, Tyndareus]
-
A.
spouseAfterZeus
Indicates that one entity became a spouse of Zeus after a specified point or relative to another spouse in sequence.
-
B.
hasCometNamedAfterHim
Indicates that a person is the namesake of a comet, meaning a comet has been officially named after that individual.
-
C.
rankAmongWivesOfZeus
Indicates the relative hierarchical or ordinal position a wife holds among all the wives of Zeus.
-
D.
marriedToPoetOfWar
Indicates that one entity is married to a person who is recognized as the poet of war.
-
E.
marriageToAdmetusGrantedBy
Indicates that a marriage to Admetus is conferred or authorized by a particular granting agent or authority.
- F. None of above. chosen
Provenance (4 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.