Triple
T19153810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Map of Love |
E468873
|
entity |
| Predicate | hasEmotionallyChargedImagery |
P84862
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Map of Love, hasEmotionallyChargedImagery, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmotionallyChargedImagery Context triple: [The Map of Love, hasEmotionallyChargedImagery, true]
-
A.
containsGraphicViolence
Indicates that the subject includes depictions of explicit, intense, or realistic physical harm or brutality.
-
B.
containsNaziImagery
Indicates that something includes symbols, visuals, or representations associated with Nazi ideology or the Nazi regime.
-
C.
containsViolence
Indicates that the subject includes, depicts, or involves acts of physical harm, aggression, or violent behavior.
-
D.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
-
E.
emotionalTrigger
chosen
Indicates that one entity causes or elicits an emotional response or reaction in another entity.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb81bf08190b0352137eb4a5763 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.