Triple
T19744478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucia Ashton |
E474214
|
entity |
| Predicate | actOfMadScene |
P137160
|
FINISHED |
| Object | Act III |
—
|
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: Act III | Statement: [Lucia Ashton, actOfMadScene, Act III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actOfMadScene Context triple: [Lucia Ashton, actOfMadScene, Act III]
-
A.
dramaticAction
Indicates an action or event characterized by heightened emotion, tension, or significance that drives or intensifies a dramatic situation or narrative.
-
B.
act
Indicates the performance or execution of an action or behavior by an entity.
-
C.
antagonistActionOf
Indicates that one entity performs an action in opposition or hostility toward another entity, acting as its antagonist.
-
D.
condemnedAction
Indicates that an entity has formally expressed strong disapproval of, or issued a denunciation against, a particular action.
-
E.
methodOfRevenge
Indicates a relationship where a specific action or strategy is used as the means by which revenge is carried out.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e652923fd48190982c51c39814fd08 |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:47 p.m.