Triple
T18693974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandora |
E457066
|
entity |
| Predicate | giftFromAphrodite |
P60010
|
FINISHED |
| Object | beauty and charm |
—
|
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: beauty and charm | Statement: [Pandora, giftFromAphrodite, beauty and charm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: giftFromAphrodite Context triple: [Pandora, giftFromAphrodite, beauty and charm]
-
A.
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.
-
B.
giftType
chosen
Indicates the specific category or kind of gift involved in the relationship or transaction.
-
C.
relationshipWithAphrodite
Indicates a romantic, familial, or otherwise significant interpersonal connection that an entity has with Aphrodite.
-
D.
giftBrought
Indicates that one entity brought or presented a gift to another entity.
-
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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e581f48190997d279296a31e7f |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.