Triple
T20360479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menas |
E496761
|
entity |
| Predicate | sceneOfNotableAction |
P128577
|
FINISHED |
| Object | the banquet on Pompey's galley |
—
|
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: the banquet on Pompey's galley | Statement: [Menas, sceneOfNotableAction, the banquet on Pompey's galley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneOfNotableAction Context triple: [Menas, sceneOfNotableAction, the banquet on Pompey's galley]
-
A.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
C.
sceneDepicts
Indicates that a scene visually represents or portrays a particular entity, event, or situation.
-
D.
notableSceneAssociation
chosen
Indicates an association between an entity and a notable or memorable scene in which it prominently appears or plays a significant role.
-
E.
placeOfShooting
Indicates the location where a shooting event took place.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678584294819093788ccf2fb8e588 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:25 a.m.