Triple
T1164136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crius |
E24561
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Iapetus |
E4626
|
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: Iapetus | Statement: [Crius, sibling, Iapetus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iapetus Context triple: [Crius, sibling, Iapetus]
-
A.
Iapetus
chosen
Iapetus is a Titan from Greek mythology, often associated with mortality and craftsmanship and known as the father of Prometheus, Epimetheus, Atlas, and Menoetius.
-
B.
Iapetus
Iapetus is a distinctive moon of Saturn known for its striking two-tone coloration and unusually large equatorial ridge.
-
C.
Tethys
Tethys is a Titaness in Greek mythology, traditionally regarded as a primordial sea goddess and wife of Oceanus.
-
D.
Tethys
Tethys is one of Saturn’s mid-sized icy moons, known for its bright, heavily cratered surface and massive Odysseus impact basin.
-
E.
Mimas
Mimas is a small, heavily cratered icy moon of Saturn best known for its large Herschel crater, which gives it a distinctive "Death Star"-like appearance.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcc9dc5081908e225a485186ab12 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbadb9758819097fd03d59ad95367 |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:45 p.m.