Triple
T26701181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Freeman as Ned Logan |
E673158
|
entity |
| Predicate | reluctantToReturnToViolence |
P161135
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Morgan Freeman as Ned Logan, reluctantToReturnToViolence, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reluctantToReturnToViolence Context triple: [Morgan Freeman as Ned Logan, reluctantToReturnToViolence, true]
-
A.
ultimatelyRefusesToKill
Indicates that an entity, despite prior opportunity or intent, finally decides not to kill another entity.
-
B.
nonviolenceTypeDiscussed
Indicates that the discussion or communication centers on a particular type or form of nonviolence.
-
C.
usedViolenceFor
Indicates that an entity employed physical force or violent means in order to achieve, enable, or support a particular goal, outcome, or activity.
-
D.
violenceLedTo
Indicates that an act or state of violence caused or directly resulted in a subsequent event, condition, or outcome.
-
E.
employedNonviolence
Indicates that an entity used nonviolent methods or strategies, rather than physical force or aggression, to pursue its goals or resolve a conflict.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6177ef08481908130a8cc2ec33fb2 |
completed | May 2, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 3:31 a.m.