Triple
T27938270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred |
E700669
|
entity |
| Predicate | showsAttitudeTowardScrooge |
P166469
|
FINISHED |
| Object | Compassionate despite rejection |
—
|
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: Compassionate despite rejection | Statement: [Fred, showsAttitudeTowardScrooge, Compassionate despite rejection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsAttitudeTowardScrooge Context triple: [Fred, showsAttitudeTowardScrooge, Compassionate despite rejection]
-
A.
showsAttitudeTowardChivalry
Indicates that an entity expresses or demonstrates a particular stance, feeling, or evaluation regarding chivalry.
-
B.
attitudeTowardChristmas
Indicates a person's feelings, opinions, or general disposition regarding Christmas.
-
C.
attitudeTowardÁntonia
Indicates the stance, feelings, or evaluative disposition that one entity holds toward Ántonia.
-
D.
showsSignOf
Indicates that one entity exhibits evidence, symptoms, or characteristics suggesting the presence or occurrence of another entity, condition, or state.
-
E.
attitudeTowardMuggles
Indicates the nature or stance of an entity’s feelings, opinions, or disposition toward Muggles.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 7:15 p.m.