Triple
T29075975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Brent |
E735940
|
entity |
| Predicate | showsRemorseForAccusation |
P125251
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Emily Brent, showsRemorseForAccusation, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsRemorseForAccusation Context triple: [Emily Brent, showsRemorseForAccusation, no]
-
A.
repentsFor
chosen
Indicates that one entity feels remorse or regret for an action, wrongdoing, or harm related to another entity.
-
B.
reactionToAccusation
Indicates how an entity responds or behaves when confronted with an accusation made by another entity.
-
C.
victimOfAccusation
Indicates that an entity is the target or subject of an accusation made by another party.
-
D.
guiltyOf
Indicates that an entity has been judged or determined to have committed a particular offense, crime, or wrongful act.
-
E.
confessedTo
Indicates that one entity admitted guilt or revealed the truth about an action, wrongdoing, or secret to another entity.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 10:23 a.m.