Triple
T5076877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sibyl |
E114418
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Persian Sibyl |
E114418
|
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: Persian Sibyl | Statement: [Sibyl, hasVariant, Persian Sibyl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persian Sibyl Context triple: [Sibyl, hasVariant, Persian Sibyl]
-
A.
Sibyl
chosen
Sibyl is a prophetic figure from ancient Greco-Roman tradition, typically depicted as a woman endowed with divine insight and the power of inspired oracles.
-
B.
Pythias
Pythias was the first wife of the ancient Greek philosopher Aristotle and the mother of his daughter, also named Pythias.
-
C.
Berenice
Berenice is a feminine given name of Greek origin, historically borne by Hellenistic queens and early Christian figures, and used in various European languages.
-
D.
Hecale
Hecale is a lost epyllion (short epic poem) by the Hellenistic poet Callimachus that recounted Theseus’ visit to an old woman named Hecale and was influential in later Greek and Roman literature.
-
E.
Circe
Circe is a powerful enchantress in Greek mythology, best known for transforming Odysseus’s men into animals and later aiding him on his journey.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d3b0088190a658864cb120eef4 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed912629c8190beffde376f0aedc7 |
completed | March 21, 2026, 5:44 p.m. |
Created at: March 20, 2026, 1:39 p.m.