Triple
T8902896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Awakening of Adonis |
E211971
|
entity |
| Predicate | portraysCharacter |
P1668
|
FINISHED |
| Object | Venus (mythology) |
E27745
|
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: Venus (mythology) | Statement: [The Awakening of Adonis, portraysCharacter, Venus (mythology)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venus (mythology) Context triple: [The Awakening of Adonis, portraysCharacter, Venus (mythology)]
-
A.
Venus Anadyomene
Venus Anadyomene is a classical artistic motif depicting the goddess Venus (Aphrodite) rising from the sea, often shown wringing water from her hair.
-
B.
Venusia
Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
-
C.
Ἥβη
Ἥβη is the Greek goddess of youth, daughter of Zeus and Hera, who served as cupbearer to the gods on Mount Olympus.
-
D.
Aphrodite
chosen
Aphrodite is the ancient Greek goddess of love, beauty, desire, and fertility, central to many myths and widely venerated throughout the Greek world.
-
E.
Venera
Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c091d08190b59e54eb4a184e41 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfac1b03808190b4672da5b292e12b |
completed | April 3, 2026, 12:01 p.m. |
Created at: March 30, 2026, 6:55 p.m.