Triple
T20264528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren |
E498928
|
entity |
| Predicate | laterAttitudeTowardSilas |
P139463
|
FINISHED |
| Object | softened |
—
|
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: softened | Statement: [Warren, laterAttitudeTowardSilas, softened]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterAttitudeTowardSilas Context triple: [Warren, laterAttitudeTowardSilas, softened]
-
A.
attitudeTowardSilvius
Indicates the nature or quality of an entity’s feelings, stance, or disposition toward Silvius.
-
B.
laterAttitudeTowardGodfrey
Indicates a subject’s attitude or feelings toward Godfrey at a subsequent or later point in time compared to an earlier reference point.
-
C.
attitudeToRa’y
Indicates the nature or stance of one entity’s attitude, opinion, or feeling toward Ra’y.
-
D.
attitudeTowardÁntonia
Indicates the stance, feelings, or evaluative disposition that one entity holds toward Ántonia.
-
E.
laterAttitudeTowardWaldenTwo
Indicates a subject’s attitude toward Walden Two at a later point in time, relative to some earlier reference attitude.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ce27688190b31d7a6c98d3ec5e |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.