Triple
T20320528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter |
E492195
|
entity |
| Predicate | roleAccordingTo |
P139662
|
FINISHED |
| Object | first pope of the Catholic Church |
—
|
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: first pope of the Catholic Church | Statement: [Peter, roleAccordingTo, first pope of the Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAccordingTo Context triple: [Peter, roleAccordingTo, first pope of the Catholic Church]
-
A.
roleWhen
Indicates a temporal relationship specifying the time or condition under which a particular role is held or applies.
-
B.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
C.
roleWith
Indicates that one entity holds or performs a particular role in relation to another entity.
-
D.
roleOnPern
Indicates the specific function, position, or duty an entity holds within the context of Pern.
-
E.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778b8b648190b80badaf15be2599 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:20 a.m.