Triple
T1300259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aphrodite |
E27745
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | The Graces |
E116487
|
NE 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: The Graces | Statement: [Aphrodite, child, The Graces]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Graces Context triple: [Aphrodite, child, The Graces]
-
A.
The Three Graces
chosen
The Three Graces is a celebrated Baroque painting by Peter Paul Rubens depicting three nude mythological figures symbolizing beauty, charm, and joy.
-
B.
Graeae
The Graeae are three ancient Greek mythological sisters who share a single eye and tooth among them and are consulted by Perseus on his quest to defeat Medusa.
-
C.
Terpsichore
Terpsichore is the Muse in Greek mythology associated primarily with dance and choral song.
-
D.
Moirae
The Moirae are the three personified goddesses of fate in Greek mythology who determine the destinies and lifespans of gods and mortals alike.
-
E.
Sileni
Sileni are mythological woodland spirits or companions of Dionysus in Greek mythology, often depicted as older, drunken satyrs associated with revelry and rustic wisdom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacc631b88190853948eeb5f24527 |
completed | March 7, 2026, 10:55 p.m. |
Created at: March 1, 2026, 7:51 p.m.