Triple
T25928310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excursus I: Odysseus or Myth and Enlightenment |
E653364
|
entity |
| Predicate | analyzesEpisode |
P123652
|
FINISHED |
| Object | Odysseus and Polyphemus |
—
|
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: Odysseus and Polyphemus | Statement: [Excursus I: Odysseus or Myth and Enlightenment, analyzesEpisode, Odysseus and Polyphemus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analyzesEpisode Context triple: [Excursus I: Odysseus or Myth and Enlightenment, analyzesEpisode, Odysseus and Polyphemus]
-
A.
narratesEpisode
Indicates that one entity tells or recounts a specific episode or event involving another entity.
-
B.
narrativeEpisode
Indicates that one event, scene, or segment functions as a distinct episode within a larger narrative or storyline.
-
C.
associatedEpisode
Indicates that one entity is linked or connected to a particular episode as its related or relevant installment.
-
D.
episodeFocusOf
chosen
Indicates that a specific episode is the primary subject or focus of another entity, such as a discussion, analysis, or reference.
-
E.
hasEpisodeAbout
Indicates that a particular episode (such as of a show, podcast, or series) focuses on, discusses, or is centered around a specified subject or topic.
- F. None of above.
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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 8:36 a.m.