Triple
T23642502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beau Abbott |
E583935
|
entity |
| Predicate | hasEmotionAssociated |
P41794
|
FINISHED |
| Object | tragedy |
—
|
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: tragedy | Statement: [Beau Abbott, hasEmotionAssociated, tragedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmotionAssociated Context triple: [Beau Abbott, hasEmotionAssociated, tragedy]
-
A.
hasTypeOfEmotion
chosen
Indicates that an entity experiences, expresses, or is associated with a particular kind or category of emotion.
-
B.
emotionAssociation
Indicates an emotional relationship or connection that one entity has toward another entity or concept.
-
C.
requiresEmotion
Indicates that one entity’s occurrence, validity, or performance depends on the presence or experience of a particular emotion in another entity.
-
D.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
E.
emotionSpectrumAffiliation
Indicates an entity’s association or alignment with a particular range or category of emotions along an emotional spectrum.
- F. None of above.
Provenance (3 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b2821cb881909b1ab77aa77208e0 |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:48 p.m.