Triple
T30107731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poem 85 (Odi et amo) |
E765176
|
entity |
| Predicate | subjectOfEmotion |
P141903
|
FINISHED |
| Object | beloved |
—
|
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: beloved | Statement: [Poem 85 (Odi et amo), subjectOfEmotion, beloved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfEmotion Context triple: [Poem 85 (Odi et amo), subjectOfEmotion, beloved]
-
A.
emotionalFocusOf
chosen
Indicates that one entity is the primary target or center of another entity’s emotions or emotional attention.
-
B.
emotionPersonified
Indicates that an abstract emotion is represented or depicted as if it were a person or human-like agent.
-
C.
emotionDomain
Indicates the general emotional category or type to which a specific emotion belongs (e.g., grouping emotions into broader domains like joy, anger, or fear).
-
D.
emotionState
Indicates the emotional condition or feeling that an entity is currently experiencing.
-
E.
emotionalTrait
Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 7:09 p.m.