Triple
T11819015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocco |
E281075
|
entity |
| Predicate | influencesPlot |
P98526
|
FINISHED |
| Object | by allowing prisoners into the courtyard |
—
|
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: by allowing prisoners into the courtyard | Statement: [Rocco, influencesPlot, by allowing prisoners into the courtyard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencesPlot Context triple: [Rocco, influencesPlot, by allowing prisoners into the courtyard]
-
A.
influencesPlotOf
chosen
Indicates that one entity has an effect on or helps shape the storyline or narrative development of another entity.
-
B.
influencesFocus
Indicates that one entity affects or shapes the attention, concentration, or focal priorities of another entity.
-
C.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
D.
influencesPractice
Indicates that one entity affects, shapes, or alters the way another entity carries out its activities, methods, or customary behavior.
-
E.
influencesCharacter
Indicates that one entity affects, shapes, or alters the traits, behavior, or development of another entity’s character.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e760988190b50d13bba5ef5b43 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.