Triple
T669670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo |
E12942
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Orpheus |
E31875
|
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: Orpheus | Statement: [Apollo, child, Orpheus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orpheus Context triple: [Apollo, child, Orpheus]
-
A.
Orpheus
chosen
Orpheus is a legendary musician, poet, and prophet in ancient Greek mythology, famed for his enchanting music that could charm all living things and even the gods of the underworld.
-
B.
Sterope
Sterope is a figure from Greek mythology, traditionally considered one of the Pleiades and a daughter of the Titan Atlas.
-
C.
Apollo Musagetes
Apollo Musagetes is the aspect of the Greek god Apollo revered as the leader and patron of the Muses, embodying the arts, music, and poetic inspiration.
-
D.
Dionysus
Dionysus is the ancient Greek god of wine, ecstasy, theater, and ritual madness, often linked to mystery cults and ecstatic worship.
-
E.
Agathon
Agathon is a young, handsome Athenian tragedian and host of the banquet in Plato’s Symposium, known for his eloquent speech in praise of love.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49ffbe09881909b547a52a6b34c7f |
completed | March 1, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6666745d88190ad09c24724aeac99 |
completed | March 3, 2026, 4:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.