Triple
T32764314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juror 3 |
E837845
|
entity |
| Predicate | projectsFeelingsOnto |
P35317
|
FINISHED |
| Object | accused boy |
—
|
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: accused boy | Statement: [Juror 3, projectsFeelingsOnto, accused boy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectsFeelingsOnto Context triple: [Juror 3, projectsFeelingsOnto, accused boy]
-
A.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
B.
emotionalTrajectory
Indicates how an entity’s emotional state changes or progresses over time in relation to another entity or context.
-
C.
feels
chosen
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
D.
emotionalCoreOf
Indicates that one entity serves as the central source, essence, or primary driver of another entity’s emotional character or experience.
-
E.
emotionalScope
Indicates the range or extent of emotions involved or affected within a given relationship or situation.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:13 a.m.