Triple
T4452174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior |
E97636
|
entity |
| Predicate | centralThemeContext |
P56597
|
FINISHED |
| Object | desire |
—
|
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: desire | Statement: [Junior, centralThemeContext, desire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeContext Context triple: [Junior, centralThemeContext, desire]
-
A.
centralThemeContribution
Indicates that one entity contributes significantly to shaping, supporting, or expressing the central theme of another entity.
-
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.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
D.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
E.
canonicalContext
Indicates the standard or primary contextual framework within which an entity, statement, or resource is to be interpreted.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f3731c81909cc5a782b12ddd38 |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b354e1f0948190b645096b2b7037af |
completed | March 13, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:33 p.m.