Triple
T12565082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Christian |
E295449
|
entity |
| Predicate | sourceWorkPopularity |
P31756
|
FINISHED |
| Object | adapted from a popular novel |
—
|
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: adapted from a popular novel | Statement: [The Christian, sourceWorkPopularity, adapted from a popular novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceWorkPopularity Context triple: [The Christian, sourceWorkPopularity, adapted from a popular novel]
-
A.
popularFrom
Indicates that something gains or holds popularity starting from a specific time, source, or context.
-
B.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
C.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
D.
hasPopularityInfluencedBy
chosen
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
E.
popularityContext
Indicates the situational or domain-specific setting in which something’s popularity or level of public favor is evaluated.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:49 p.m.