Triple
T7093220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannister |
E165253
|
entity |
| Predicate | alignmentInStory |
P74485
|
FINISHED |
| Object | torn between fundamentalism and scientific ideas |
—
|
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: torn between fundamentalism and scientific ideas | Statement: [Bannister, alignmentInStory, torn between fundamentalism and scientific ideas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentInStory Context triple: [Bannister, alignmentInStory, torn between fundamentalism and scientific ideas]
-
A.
alignmentAtIntroduction
Indicates that two entities share a particular alignment or stance at the moment one is first introduced.
-
B.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
C.
typicalAlignment
Indicates the usual or most common way in which two entities are positioned, oriented, or arranged relative to each other.
-
D.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
E.
reasonForAlignment
Indicates the justification or cause that explains why one entity’s alignment, stance, or position corresponds to or matches another.
- F. None of above. chosen
Provenance (4 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e532513c8190968eea8a0d3235a0 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.