Triple
T34342995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Bean |
E881347
|
entity |
| Predicate | existenceInNarrative |
P68230
|
FINISHED |
| Object | only through other characters’ recollections and his paintings |
—
|
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: only through other characters’ recollections and his paintings | Statement: [Christopher Bean, existenceInNarrative, only through other characters’ recollections and his paintings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: existenceInNarrative Context triple: [Christopher Bean, existenceInNarrative, only through other characters’ recollections and his paintings]
-
A.
narrativePresence
chosen
Indicates that an entity appears or is involved within the narrative or storyline of another entity.
-
B.
occupiesNarrativeSpace
Indicates that an entity takes up or is present within a particular portion or region of a narrative’s structure or progression.
-
C.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
D.
narrativeCertainty
Indicates the degree of confidence or definitiveness with which a narrative, statement, or account is presented as true or reliable.
-
E.
hasRealityCounterpartInFiction
Indicates that a fictional element corresponds to or is based on a real-world counterpart within a work of fiction.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:58 a.m.