Triple
T7234250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icarius |
E155181
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Oebalus |
E516767
|
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: Oebalus | Statement: [Icarius, sibling, Oebalus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oebalus Context triple: [Icarius, sibling, Oebalus]
-
A.
Oebalus
chosen
Oebalus is a figure in Greek mythology, traditionally regarded as a king of Sparta and a member of the royal Spartan lineage.
-
B.
Iobates
Iobates is a king in Greek mythology, best known for sending the hero Bellerophon on perilous quests such as slaying the Chimera.
-
C.
Pherendates
Pherendates was an Achaemenid Persian official who served as satrap (provincial governor) of Egypt during the early period of Persian rule.
-
D.
Oenomaus
Oenomaus is a king in Greek mythology, best known as the ruler of Pisa and the father of Hippodamia, whose deadly chariot races led to the famous contest won by Pelops.
-
E.
Eurytion
Eurytion is a herdsman in Greek mythology best known for guarding the cattle of the three-bodied giant Geryon, whom Heracles killed during his tenth labor.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea130e5c819087f74883760fe327 |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc2d96588190bcf150cbfe4d015c |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.