Triple
T19376335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church in Corinth |
E484677
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Apollos |
—
|
NE NERFINISHED |
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: Apollos | Statement: [Church in Corinth, associatedWith, Apollos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apollos Context triple: [Church in Corinth, associatedWith, Apollos]
-
A.
Apollos
Apollos is the athletic and school spirit mascot representing Sunset High School’s teams and student body.
-
B.
Apollos
Apollos is the short name of the Orlando Apollos, a former professional American football team in the Alliance of American Football.
-
C.
Apollos
chosen
Apollos was an eloquent Jewish Christian teacher and missionary in the early church, known from the New Testament for his preaching and leadership in cities such as Corinth.
-
D.
Cleopas
Cleopas is a figure from the New Testament, known as one of the disciples who encountered the risen Jesus on the road to Emmaus.
-
E.
Agapius
Agapius is traditionally regarded as one of the children of Saint Eustace in Christian hagiography.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5c05c08190b91cb32fdb79813b |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.