Triple
T28667101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miskatonic University |
E725611
|
entity |
| Predicate | associatedWithEventFictional |
P60249
|
FINISHED |
| Object | Dunwich Horror investigation |
E201514
|
NE 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: Dunwich Horror investigation | Statement: [Miskatonic University, associatedWithEventFictional, Dunwich Horror investigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEventFictional Context triple: [Miskatonic University, associatedWithEventFictional, Dunwich Horror investigation]
-
A.
associatedWithFictionalEvent
Indicates that an entity has a connection or involvement with a fictional event, such as being based on, inspired by, or participating in that imagined occurrence.
-
B.
associatedWithCaseInFiction
chosen
Indicates that an entity is connected to, involved in, or relevant to a particular case or investigation within a fictional context.
-
C.
hasEventInFiction
Indicates that a fictional work includes or depicts a particular event within its narrative.
-
D.
associatedWithFictionalSetting
Indicates that an entity has a connection or relevance to a particular fictional setting or universe.
-
E.
relatedToInFiction
Indicates that one entity is connected to another within a fictional context, such as a story, universe, or narrative work.
- F. None of above.
Provenance (4 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a01a9e333fc819087d583ff319be0b3 |
completed | May 11, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cc3a1bbc88190a92584faed3748d5 |
completed | May 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_6a01a877c9e08190b0678618d3533286 |
completed | May 11, 2026, 9:59 a.m. |
Created at: April 28, 2026, 5:01 a.m.