Triple
T12109050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archchancellor of Gaul |
E288374
|
entity |
| Predicate | secularCharacter |
P2316
|
FINISHED |
| Object | political |
—
|
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: political | Statement: [Archchancellor of Gaul, secularCharacter, political]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secularCharacter Context triple: [Archchancellor of Gaul, secularCharacter, political]
-
A.
secularName
Indicates that an entity has a non-religious or civil name used in secular contexts.
-
B.
denominationalCharacter
Indicates the specific religious denomination or sect with which an entity is affiliated or characterized.
-
C.
hasSecularAspects
chosen
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
-
D.
hasReligiousCharacter
Indicates that an entity possesses a religious nature, function, or affiliation, or is characterized by religious aspects or significance.
-
E.
hasSecularRank
Indicates that one entity holds a specific position or level within a non-religious (secular) hierarchy relative to another entity.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.