Triple
T32851573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juror 5 |
E840265
|
entity |
| Predicate | empathyFor |
P70674
|
FINISHED |
| Object | defendant from a similar background |
—
|
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: defendant from a similar background | Statement: [Juror 5, empathyFor, defendant from a similar background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: empathyFor Context triple: [Juror 5, empathyFor, defendant from a similar background]
-
A.
isSympatheticTo
chosen
Indicates that one entity feels or expresses compassion, understanding, or emotional support toward another entity.
-
B.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
C.
emotionalCounterpartOf
Indicates that one entity serves as the emotional equivalent, complement, or matching emotional role of another entity.
-
D.
intendedEmotion
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
-
E.
emotionalFocusOf
Indicates that one entity is the primary target or center of another entity’s emotions or emotional attention.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce786af4819082f159abf7bef62c |
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, 1:17 a.m.