Triple
T25034187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earthly Powers |
E626930
|
entity |
| Predicate | characterRoleOfCarloCampanati |
P23263
|
FINISHED |
| Object | priest who becomes Pope |
—
|
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: priest who becomes Pope | Statement: [Earthly Powers, characterRoleOfCarloCampanati, priest who becomes Pope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleOfCarloCampanati Context triple: [Earthly Powers, characterRoleOfCarloCampanati, priest who becomes Pope]
-
A.
cameoCharacter
Indicates that one entity appears briefly or in a minor, special-guest role within the context or work associated with another entity.
-
B.
roleInFamousPlay
Indicates that an entity portrays or has portrayed a specific character in a well-known theatrical play.
-
C.
roleOfCarlosPenaVega
Indicates that the specified role is one portrayed or performed by Carlos PenaVega.
-
D.
featuresCharacterRole
chosen
Indicates that a work includes a character appearing in a specific narrative or functional role.
-
E.
roleOfCarmen Pavlovic
Indicates that the specified role or position is held or performed by Carmen Pavlovic.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 6:07 a.m.