Triple
T5044848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Convent |
E113636
|
entity |
| Predicate | perceivedByRubyWomenAs |
P60996
|
FINISHED |
| Object | source of anxiety and fascination |
—
|
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: source of anxiety and fascination | Statement: [the Convent, perceivedByRubyWomenAs, source of anxiety and fascination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedByRubyWomenAs Context triple: [the Convent, perceivedByRubyWomenAs, source of anxiety and fascination]
-
A.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
-
B.
femaleBehavior
Indicates that the behavior or actions being referred to are characteristic of, or typically associated with, females in the given context.
-
C.
womenStatus
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
D.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
E.
usedByGender
Indicates that something is utilized, applied, or engaged in by entities of a specified gender.
- F. None of above. chosen
Provenance (4 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fd81788190b7799f519277119a |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73617f348190b2fa68a0ef4fc7b1 |
completed | March 20, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:37 p.m.