Triple
T34938517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Third Thing That Killed My Father Off |
E1007646
|
entity |
| Predicate | hasMainEmotion |
P68365
|
FINISHED |
| Object | melancholy |
—
|
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: melancholy | Statement: [The Third Thing That Killed My Father Off, hasMainEmotion, melancholy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainEmotion Context triple: [The Third Thing That Killed My Father Off, hasMainEmotion, melancholy]
-
A.
hasMainCharacterEmotion
Indicates that a main character in a narrative experiences or exhibits a particular emotion.
-
B.
hasTypeOfEmotion
Indicates that an entity experiences, expresses, or is associated with a particular kind or category of emotion.
-
C.
hasEmotionalDimension
Indicates that something involves, expresses, or affects emotions as a significant aspect of its nature or impact.
-
D.
primaryEmotion
chosen
Indicates the main or most dominant emotion that an entity is experiencing or expressing in a given context.
-
E.
hasEmotionalIntensity
Indicates that an emotion, experience, or expression is characterized by a particular degree or strength of emotional impact.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01d9ca07b88190b4ad70b6336447b6 |
completed | May 11, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_6a01d807c3048190b79f0b6b933dd3b7 |
completed | May 11, 2026, 1:22 p.m. |
Created at: May 3, 2026, 4 p.m.