Triple
T25088121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werther |
E628378
|
entity |
| Predicate | inspiredCulturalPhenomenon |
P61130
|
FINISHED |
| Object | copycat suicides |
—
|
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: copycat suicides | Statement: [Werther, inspiredCulturalPhenomenon, copycat suicides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredCulturalPhenomenon Context triple: [Werther, inspiredCulturalPhenomenon, copycat suicides]
-
A.
inspiredByOrRelatedTo
chosen
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
B.
inspiredByPhrase
Indicates that one entity’s creation, idea, or expression is motivated or shaped by the content or wording of a particular phrase.
-
C.
inspiredEvent
Indicates that one event served as the motivation, cause, or creative stimulus for another event to occur or be conceived.
-
D.
popularCultureTrait
Indicates that an entity exhibits a characteristic, behavior, or element that is commonly recognized or influential within popular culture.
-
E.
inPopularCulture
Indicates that an entity is referenced, depicted, or otherwise present within works or discussions of popular culture.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:24 a.m.