Triple
T38290942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hercules in art |
E1022359
|
entity |
| Predicate | commonScene |
P89587
|
FINISHED |
| Object | Hercules and the Nemean Lion |
—
|
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: Hercules and the Nemean Lion | Statement: [Hercules in art, commonScene, Hercules and the Nemean Lion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonScene Context triple: [Hercules in art, commonScene, Hercules and the Nemean Lion]
-
A.
centralScene
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
-
B.
sharedSceneWith
chosen
Indicates that two entities appear together within the same scene or setting.
-
C.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
D.
cityScene
Indicates a scene or setting that takes place within an urban or city environment.
-
E.
showsScene
Indicates that one entity (such as a media item or visual representation) depicts or presents a particular scene.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7595c9bc8190982c6e6e07a0c78f |
completed | May 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69ff715432a88190a25670d26614bde2 |
completed | May 9, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4:30 p.m.