Triple
T6306200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Androgeus |
E141380
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Acacallis |
E127424
|
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: Acacallis | Statement: [Androgeus, sibling, Acacallis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acacallis Context triple: [Androgeus, sibling, Acacallis]
-
A.
Acacallis
chosen
Acacallis is a figure in Greek mythology, traditionally described as a daughter of King Minos of Crete.
-
B.
Hersilia
Hersilia is a figure from Roman mythology, traditionally known as the wife of Romulus and a central mediator in the legendary conflict between the Romans and the Sabine women.
-
C.
Anamirta
Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
-
D.
Pelarco
Pelarco is a rural commune and town in Chile’s Maule Region, known for its agricultural activities and traditional countryside character.
-
E.
Opebi
Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06479acec819090306a155a03b774 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e44c11f48190a8c3c36172cd8da0 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.