Triple
T36500276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act IV of Much Ado About Nothing |
E899305
|
entity |
| Predicate | sceneCount |
P113985
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Act IV of Much Ado About Nothing, sceneCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneCount Context triple: [Act IV of Much Ado About Nothing, sceneCount, 2]
-
A.
numberOfScenes
chosen
Indicates the total count of distinct scenes associated with or contained within an entity.
-
B.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
C.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
D.
shadeCount
Indicates the number of distinct shades or tonal variations associated with an entity.
-
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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.