Triple
T30779603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Προμηθέας |
E783772
|
entity |
| Predicate | literaryWorkAppearance |
P59323
|
FINISHED |
| Object | Θεογονία του Ησιόδου |
—
|
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: Θεογονία του Ησιόδου | Statement: [Προμηθέας, literaryWorkAppearance, Θεογονία του Ησιόδου]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryWorkAppearance Context triple: [Προμηθέας, literaryWorkAppearance, Θεογονία του Ησιόδου]
-
A.
depictsLiteraryWork
Indicates that one entity visually represents, illustrates, or portrays the content, scenes, or themes of a specific literary work.
-
B.
literaryWorkInStory
Indicates that one literary work is referenced, featured, or embedded within the narrative of another story.
-
C.
literaryGenreOfWorkAppearedIn
Indicates the literary genre of the work in which a given entity (such as a text, character, or element) appears.
-
D.
literaryWorkSetInRegion
Indicates that a literary work’s narrative or events primarily take place within a specified geographic region.
-
E.
attestedInWorksOf
chosen
Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 8:41 p.m.