Triple
T6924491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chalkeia |
E160270
|
entity |
| Predicate | honoursAspectOfAthena |
P60804
|
FINISHED |
| Object | Athena as patron of crafts |
—
|
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: Athena as patron of crafts | Statement: [Chalkeia, honoursAspectOfAthena, Athena as patron of crafts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoursAspectOfAthena Context triple: [Chalkeia, honoursAspectOfAthena, Athena as patron of crafts]
-
A.
AthenaBribe
Indicates that one entity offers or gives something of value to another as a bribe, specifically involving or attributed to Athena.
-
B.
honorsAspectOf
chosen
Indicates that one entity shows respect, recognition, or reverence specifically toward a particular aspect, quality, or facet of another entity.
-
C.
AphroditeBribe
Indicates that one entity (Aphrodite) offers or gives a persuasive incentive or reward to another entity in order to influence their decision or allegiance.
-
D.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
E.
HeraBribe
Indicates that Hera offers something of value as a bribe to influence or persuade another entity to act in her favor.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fea8d08190b6099a24fbac7de5 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.