Triple
T3001735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffering of Zion |
E81802
|
entity |
| Predicate | hasEmotionalTone |
P7863
|
FINISHED |
| Object | despair |
—
|
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: despair | Statement: [Suffering of Zion, hasEmotionalTone, despair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmotionalTone Context triple: [Suffering of Zion, hasEmotionalTone, despair]
-
A.
hasTypeOfEmotion
Indicates that an entity experiences, expresses, or is associated with a particular kind or category of emotion.
-
B.
hasMood
chosen
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
C.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
D.
hasUserAttitude
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
-
E.
hasDramaticTone
Indicates that something (such as a work, scene, or expression) is characterized by a heightened, intense, or emotionally charged tone.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a11b4bc81909ce06121361b4e0f |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.