Triple
T28680512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabir Ally |
E725992
|
entity |
| Predicate | notableForDebatesWith |
P64392
|
FINISHED |
| Object | Christian apologists |
—
|
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: Christian apologists | Statement: [Shabir Ally, notableForDebatesWith, Christian apologists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForDebatesWith Context triple: [Shabir Ally, notableForDebatesWith, Christian apologists]
-
A.
hasDebatedPerson
chosen
Indicates that one person has engaged in a debate or formal argumentative discussion with another person.
-
B.
hasNotableDebates
Indicates that there have been significant or widely recognized debates or controversies involving the related entities.
-
C.
notableDebateMoment
Indicates a particularly significant or memorable moment that occurred during a debate, often cited or recalled as especially impactful.
-
D.
majorDebateWith
Indicates a significant, often public or formal, debate or dispute occurring between two entities.
-
E.
hasDebateAround
Indicates that there is ongoing discussion, disagreement, or controversy surrounding the referenced entity or topic.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a016336c58081909c58c5772e6fb488 |
completed | May 11, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a0160f25d8081909a6aaa375e9850b0 |
completed | May 11, 2026, 4:54 a.m. |
Created at: April 28, 2026, 5:09 a.m.