Triple
T7093421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick York as Bertram Cates |
E165260
|
entity |
| Predicate | centralThemeOfTrial |
P5193
|
FINISHED |
| Object | teaching evolution |
—
|
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: teaching evolution | Statement: [Dick York as Bertram Cates, centralThemeOfTrial, teaching evolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeOfTrial Context triple: [Dick York as Bertram Cates, centralThemeOfTrial, teaching evolution]
-
A.
centralThemeContext
Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
-
B.
centralThemeConnection
Indicates a relationship where one element serves as the primary or unifying theme that conceptually links or organizes the other element(s).
-
C.
facedTribunal
Indicates that an entity has been brought before and judged by a formal tribunal or judicial body.
-
D.
centralQuestion
chosen
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
-
E.
centralAppeal
Indicates that something serves as the main attraction, focus, or compelling feature that draws interest or attention.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e55159848190a794ad77e60c5525 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.