Triple
T18350805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Officer |
E439661
|
entity |
| Predicate | attitudeTowardCondemned |
P131471
|
FINISHED |
| Object | indifferent |
—
|
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: indifferent | Statement: [the Officer, attitudeTowardCondemned, indifferent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardCondemned Context triple: [the Officer, attitudeTowardCondemned, indifferent]
-
A.
condemnedBy
Indicates that an entity is judged, denounced, or declared wrong or unacceptable by another entity.
-
B.
condemnedIn
Indicates that an entity was formally denounced, sentenced, or declared guilty within a particular place, context, or proceeding.
-
C.
condemnedAs
Indicates that one entity formally or strongly denounces another entity by labeling it as wrong, guilty, or unacceptable.
-
D.
subjectOfCondemnation
Indicates that one entity is the target or object of formal disapproval, criticism, or denunciation by another entity.
-
E.
aimOfCondemnation
Indicates that an act of condemnation is directed toward a particular target or objective.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:37 a.m.