Triple
T10516903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Burns |
E248056
|
entity |
| Predicate | responseToAbuse |
P94336
|
FINISHED |
| Object | forgiveness and patience |
—
|
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: forgiveness and patience | Statement: [Helen Burns, responseToAbuse, forgiveness and patience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseToAbuse Context triple: [Helen Burns, responseToAbuse, forgiveness and patience]
-
A.
responseToWarning
Indicates how an entity reacts or behaves in consequence to a prior warning.
-
B.
reactionToAccusation
Indicates how an entity responds or behaves when confronted with an accusation made by another entity.
-
C.
abusePolicy
Indicates that one entity enforces or is governed by rules or guidelines defining unacceptable abusive behavior toward others.
-
D.
claimsInsultBy
Indicates that one entity asserts or alleges that another entity has insulted them.
-
E.
responseToProtests
Indicates how an individual, group, or institution reacts or takes action in relation to protests or demonstrations.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cc58b081908ef15aa89b396db6 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:28 p.m.