Triple
T10582746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oizys |
E249775
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Apate |
E249776
|
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: Apate | Statement: [Oizys, sibling, Apate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apate Context triple: [Oizys, sibling, Apate]
-
A.
Apate
chosen
Apate is the Greek personification of deceit and fraud, a minor goddess associated with lies and treachery in mythology.
-
B.
Aposticha
Aposticha are a series of hymns with psalm verses chanted near the end of Orthodox Christian Vespers and other services, often highlighting the theme of the feast or liturgical day.
-
C.
Afantou
Afantou is a village and seaside resort on the island of Rhodes in Greece, known for its long beach and traditional character.
-
D.
Makhfi
Makhfi was the pen name of Mughal princess Zeb-un-Nissa, known for her Persian poetry and literary patronage in 17th-century India.
-
E.
Treachery
Treachery is a 2013 independent drama thriller film exploring betrayal and strained family relationships, directed by Michael Biehn.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52766d53c8190b51753768ab58c31 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b59f80c81908afa84e4d9ffefc1 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:39 p.m.