Triple
T13472217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Honeychurch |
E318155
|
entity |
| Predicate | religionOrBackground |
P56366
|
FINISHED |
| Object | middle-class Anglican English |
—
|
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: middle-class Anglican English | Statement: [Lucy Honeychurch, religionOrBackground, middle-class Anglican English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionOrBackground Context triple: [Lucy Honeychurch, religionOrBackground, middle-class Anglican English]
-
A.
religionOrBelief
chosen
Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
-
B.
religionInBackstory
Indicates that a character’s religious beliefs or practices play a role in their past or origin story.
-
C.
religiousBackgroundOfCommunity
Indicates the religious tradition, affiliation, or belief system that characterizes or predominates within a particular community.
-
D.
originReligionContext
Indicates the religious background or setting from which something or someone originates or is derived.
-
E.
associatedReligionOrBelief
Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.