Triple
T3533183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Bon Sens |
E74707
|
entity |
| Predicate | viewOnClergy |
P41529
|
FINISHED |
| Object | hostile |
—
|
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: hostile | Statement: [Le Bon Sens, viewOnClergy, hostile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnClergy Context triple: [Le Bon Sens, viewOnClergy, hostile]
-
A.
clergyView
chosen
Indicates that a member of the clergy holds a particular opinion, perspective, or evaluative stance toward something.
-
B.
clergyCan
Indicates that members of the clergy are permitted or authorized to perform a specified action or exercise a particular role or function.
-
C.
viewOnChurch
Indicates that something has a view overlooking or directed toward a church.
-
D.
clergyOrder
Indicates that an individual belongs to, or is formally associated with, a specific religious clerical order or denomination.
-
E.
hasViewOnLaity
Indicates that one entity holds a particular stance, opinion, or doctrinal position regarding the role or nature of laypeople.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9b945481909867d44b810e8b1f |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae13ab808190a5d6ecdc7543445e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.