Triple
T19337923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Λάϊος |
E483668
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Labdacus |
—
|
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: Labdacus | Statement: [Λάϊος, predecessor, Labdacus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labdacus Context triple: [Λάϊος, predecessor, Labdacus]
-
A.
Labdacus
chosen
Labdacus is a mythological king of Thebes in Greek legend, best known as the father of Laius and grandfather of Oedipus.
-
B.
Darphin
Darphin is a French luxury skincare brand renowned for its botanically based, spa-inspired treatments and high-performance serums.
-
C.
Louletanos
Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
-
D.
Hyillus
Hyillus is a figure from Greek mythology, known as a descendant of the royal line of Argos.
-
E.
Ousanas
Ousanas was a king of the ancient Kingdom of Aksum in what is now Ethiopia, known from inscriptions and coinage as an early Christian-era ruler preceding King Ezana.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61646e89081908c9f1d2cf557672c |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.