Triple
T5411319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeus |
E121017
|
entity |
| Predicate | consort |
P13
|
FINISHED |
| Object | Io |
E102213
|
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: Io | Statement: [Zeus, consort, Io]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Io Context triple: [Zeus, consort, Io]
-
A.
Io
chosen
Io is a figure from Greek mythology, a mortal woman loved by Zeus and tormented by Hera, whose wanderings and suffering are famously recounted in Aeschylus’ tragedy "Prometheus Bound."
-
B.
Io
Io is a large, volcanically active moon of Jupiter and one of the four major Galilean satellites discovered by Galileo Galilei.
-
C.
Callisto
Callisto is a large, heavily cratered icy moon of Jupiter and one of the four Galilean satellites discovered by Galileo Galilei.
-
D.
Ganymede
Ganymede is the largest moon of Jupiter and the Solar System, notable for its icy surface, subsurface ocean, and intrinsic magnetic field.
-
E.
Ganymede
Ganymede is a divine hero in Greek mythology famed for his extraordinary beauty, whom Zeus carried off to serve as cupbearer to the gods.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87985ee0819092a9a5cd6a948138 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33a22e188190861459f74c3f615a |
completed | March 22, 2026, 12:11 a.m. |
Created at: March 20, 2026, 2:05 p.m.