Triple
T21151691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pylades |
E521206
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Pylade |
—
|
NE NERFINISHED |
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: Pylade | Statement: [Pylades, nameVariant, Pylade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pylade Context triple: [Pylades, nameVariant, Pylade]
-
A.
Pylade
chosen
Pylade is a loyal and courageous companion of Orestes in classical mythology, often portrayed as a model of steadfast friendship and devotion.
-
B.
Pallade
Pallade is the Italian name for Pallas Athena, the wise and warlike goddess of Greek mythology who often appears as a divine protector and counselor.
-
C.
Aleus
Aleus is a figure in Greek mythology, a king of Tegea in Arcadia and a descendant of the god Arcas.
-
D.
Persiles
Persiles is the adventurous noble protagonist of Miguel de Cervantes’ late romance novel "Los trabajos de Persiles y Sigismunda," known for his perilous travels and disguised identity.
-
E.
Palamedu
Palamedu is a town in Tamil Nadu, India, best known for hosting one of the most prominent annual Jallikattu (bull-taming) events during the Pongal festival.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72401830c8190a2008c40c4174d97 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.