Triple
T13518074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Hubermann |
E322818
|
entity |
| Predicate | religion |
P45
|
FINISHED |
| Object | Christian (implied) |
E902868
|
NE 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: Christian (implied) | Statement: [Hans Hubermann, religion, Christian (implied)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian (implied) Context triple: [Hans Hubermann, religion, Christian (implied)]
-
A.
The Christian
"The Christian" is a 1914 American silent drama film adaptation of Hall Caine’s popular novel, produced during the early feature-film era.
-
B.
Chishtian
Chishtian is a prominent city in Pakistan’s Punjab province known as a regional commercial and agricultural hub.
-
C.
Cristiani
Cristiani is an Italian-origin surname most notably associated with Alfredo Cristiani, a former president of El Salvador.
-
D.
Christian
Christian is a masculine given name of Latin origin, widely used in many European languages and historically borne by numerous notable figures, including royalty and religious leaders.
-
E.
Christian
chosen
Christian refers to a follower of Christianity, a monotheistic Abrahamic religion centered on the life and teachings of Jesus Christ.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75498153c819096a28a7f0b608ff5 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.