Triple
T21028788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leucothea |
E518009
|
entity |
| Predicate | veilFunction |
P142534
|
FINISHED |
| Object | keeps Odysseus from drowning |
—
|
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: keeps Odysseus from drowning | Statement: [Leucothea, veilFunction, keeps Odysseus from drowning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: veilFunction Context triple: [Leucothea, veilFunction, keeps Odysseus from drowning]
-
A.
veilCustom
Indicates a customary or traditional practice involving the wearing or use of a veil.
-
B.
veilName
Indicates that an entity is associated with or identified by a particular veil-related name or alias.
-
C.
venomFunction
Indicates the specific biological role or effect that a venom has when acting on a target.
-
D.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
E.
vise
Indicates that one entity firmly grips, clamps, or holds another in place, typically restricting its movement or separating it from other objects.
- F. None of above. chosen
Provenance (4 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7efda081909a4de1c389166bf2 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:55 p.m.