Triple
T28667647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoggoth |
E725624
|
entity |
| Predicate | perceptionByHumansInFiction |
P167371
|
FINISHED |
| Object | Causes terror and madness |
—
|
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: Causes terror and madness | Statement: [Shoggoth, perceptionByHumansInFiction, Causes terror and madness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceptionByHumansInFiction Context triple: [Shoggoth, perceptionByHumansInFiction, Causes terror and madness]
-
A.
perceptionByHumans
chosen
Indicates that something is perceived, sensed, or experienced through human sensory or cognitive processes.
-
B.
hasViewOfFictional
Indicates that one entity has a visual or conceptual perspective of a fictional entity or scene.
-
C.
targetAudienceWithinFiction
Indicates that the intended audience of a work exists as characters or entities within the fictional world depicted by that work.
-
D.
createsInFiction
Indicates that one entity is the creator or originator of another entity within a fictional or narrative context.
-
E.
settingOfFictionalLife
Indicates that a particular place or environment serves as the primary backdrop or context in which a fictional character’s life and experiences occur.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 5:02 a.m.