Triple
T19831987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creon |
E476483
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Oedipus |
—
|
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: Oedipus | Statement: [Creon, relative, Oedipus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oedipus Context triple: [Creon, relative, Oedipus]
-
A.
Oedipus
chosen
Oedipus is a tragic hero in Greek mythology best known for unwittingly killing his father and marrying his mother, a fate he was prophesied to fulfill.
-
B.
Edip
Edip is a masculine Turkish given name most notably borne by the modernist poet Edip Cansever.
-
C.
Iocaste
Iocaste is a small, irregularly shaped outer moon of Jupiter, classified among the planet’s distant, retrograde irregular satellites.
-
D.
Laius
Laius is a mythological king of Thebes in Greek tragedy, best known for the prophecy that his son would kill him and marry his wife, setting the stage for the story of Oedipus.
-
E.
Oedipus Aegyptiacus
Oedipus Aegyptiacus is a 17th-century encyclopedic work by Athanasius Kircher that attempts to decipher Egyptian hieroglyphs and synthesize ancient esoteric knowledge.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ce68b48190aa25b29d0b6ea021 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.