Triple
T934333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polyphemus |
E20160
|
entity |
| Predicate | curseEffect |
P7531
|
FINISHED |
| Object | delayed return of Odysseus to Ithaca |
—
|
LITERAL FINISHED |
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: delayed return of Odysseus to Ithaca | Statement: [Polyphemus, curseEffect, delayed return of Odysseus to Ithaca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curseEffect Context triple: [Polyphemus, curseEffect, delayed return of Odysseus to Ithaca]
-
A.
associatedCurse
chosen
Indicates that one entity is linked to, affected by, or bears responsibility for a particular curse related to another entity.
-
B.
involvedPhysicalEffect
Indicates that one entity participates in causing, experiencing, or mediating a physical effect on another entity or the environment.
-
C.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
D.
specialEffectsBy
Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
-
E.
primaryEffect
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b299c4d881908a57ac2711676cd7 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.