Triple
T23566054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aristogeiton |
E579372
|
entity |
| Predicate | hasLegendRole |
P134527
|
FINISHED |
| Object | foundational hero of Athenian democracy |
—
|
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: foundational hero of Athenian democracy | Statement: [Aristogeiton, hasLegendRole, foundational hero of Athenian democracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegendRole Context triple: [Aristogeiton, hasLegendRole, foundational hero of Athenian democracy]
-
A.
hasLegendAssociatedWith
Indicates that something is connected to or accompanied by a traditional story, myth, or legend.
-
B.
inLegendRole
chosen
Indicates that an entity appears in a legendary or mythic context fulfilling a specific narrative or symbolic role.
-
C.
hasHistoricalLegend
Indicates that there exists a traditional story, myth, or legend associated with the subject, typically rooted in historical or cultural narratives.
-
D.
hasSiblingInLegend
Indicates that one entity is described as the sibling of another entity within a mythological or legendary narrative.
-
E.
hasMediaLegend
Indicates that an entity is associated with a media-specific legend or caption that explains or describes that media.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6c2930819090bc2b95725fbf18 |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:34 p.m.