Triple
T24614918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Cream Man |
E609226
|
entity |
| Predicate | hasCultReputationFor |
P15525
|
FINISHED |
| Object | bizarre tone and dark humor |
—
|
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: bizarre tone and dark humor | Statement: [Ice Cream Man, hasCultReputationFor, bizarre tone and dark humor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCultReputationFor Context triple: [Ice Cream Man, hasCultReputationFor, bizarre tone and dark humor]
-
A.
hasCultSince
Indicates that an entity has had an organized group of devoted followers (a cult) continuously since a specified time or date.
-
B.
hasCultFollowing
chosen
Indicates that something has attracted a small but highly dedicated and enthusiastic group of supporters or fans.
-
C.
hasCulticPractice
Indicates that an entity engages in, observes, or is associated with a specific religious or ritualistic practice.
-
D.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
E.
typeOfCult
Indicates that one entity is a specific kind or category of cult relative to 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.