Triple
T10733419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal styles |
E253131
|
entity |
| Predicate | hasMostFormalStyle |
P86122
|
FINISHED |
| Object | His Holiness |
—
|
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: His Holiness | Statement: [Papal styles, hasMostFormalStyle, His Holiness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMostFormalStyle Context triple: [Papal styles, hasMostFormalStyle, His Holiness]
-
A.
hasDressCode
Indicates that a specified entity enforces or is associated with a particular set of rules governing appropriate clothing or attire.
-
B.
formalSetting
Indicates that the associated interaction, event, or context occurs in a formal or official setting governed by explicit social or institutional norms.
-
C.
hasFormalStatus
Indicates that an entity possesses an officially recognized or legally defined status within a formal system or context.
-
D.
hasManner
chosen
Indicates the way, style, or method in which an action is performed or a relation is carried out.
-
E.
formalDegreeTrack
Indicates that an entity is enrolled in or associated with an official, structured academic degree program or course of study.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7101ff9808190a27fcc06da097ea3 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.