Triple
T16253129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monster |
E394561
|
entity |
| Predicate | storyPurpose |
P80898
|
FINISHED |
| Object | to challenge Conor’s assumptions |
—
|
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: to challenge Conor’s assumptions | Statement: [The Monster, storyPurpose, to challenge Conor’s assumptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyPurpose Context triple: [The Monster, storyPurpose, to challenge Conor’s assumptions]
-
A.
narrativePurpose
chosen
Indicates the role or function that something serves within the structure or progression of a narrative.
-
B.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
C.
purpose
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
D.
storyTitle
Indicates that one entity is the title assigned to a story associated with another entity.
-
E.
storyBy
Indicates that one entity is the creator or author of the story associated with 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24597b74481908fdb8175628a57a1 |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.