Triple
T36613679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhattan University |
E903541
|
entity |
| Predicate | hasNotableFacultyInFiction |
—
|
GENERATED |
| Object | Jessica Fletcher |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFacultyInFiction Context triple: [Manhattan University, hasNotableFacultyInFiction, Jessica Fletcher]
-
A.
hasNotableTeacherFictional
Indicates that a fictional entity has a notable teacher within a narrative or fictional context.
-
B.
hasFictionalAuthor
Indicates that one entity is the fictional or in-universe author of a work attributed to them.
-
C.
hasFictionalAuthorOccupation
Indicates that a fictional author character holds or is associated with a particular occupation or job.
-
D.
hasNotableResidentInFiction
Indicates that a place or entity is notably associated with a fictional character who is depicted as residing there.
-
E.
hasNotableWriter
Indicates that an entity is associated with a writer who is recognized as significant or distinguished in some notable way.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.