Triple
T23662658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danaids |
E584492
|
entity |
| Predicate | areFamedFor |
P52554
|
FINISHED |
| Object | murdering their husbands on their wedding night |
—
|
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: murdering their husbands on their wedding night | Statement: [Danaids, areFamedFor, murdering their husbands on their wedding night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areFamedFor Context triple: [Danaids, areFamedFor, murdering their husbands on their wedding night]
-
A.
traditionallyKnownFor
Indicates that something is widely and historically recognized or reputed for a particular characteristic, activity, product, or role.
-
B.
countryKnownFor
Indicates that a country is widely recognized or notable for a particular characteristic, product, activity, or feature.
-
C.
fameFor
chosen
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
D.
isNationalDishOf
Indicates that a particular food is officially or culturally recognized as the national dish of a specific country or region.
-
E.
inscriptionFamousFor
Indicates that an inscription is widely recognized or notable specifically because of the referenced feature, event, content, or characteristic.
- 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4094c448190be12402422451e89 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.