Triple
T13334071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Lee Younger |
E317643
|
entity |
| Predicate | centralThemesEmbodied |
P81245
|
FINISHED |
| Object | race |
—
|
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: race | Statement: [Walter Lee Younger, centralThemesEmbodied, race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemesEmbodied Context triple: [Walter Lee Younger, centralThemesEmbodied, race]
-
A.
thematicConcept
chosen
Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
-
B.
culturalThemes
Indicates that there is a relationship between entities where one embodies, expresses, or is associated with particular cultural themes present in or derived from the other.
-
C.
centralThemeContext
Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
-
D.
centralThemeConnection
Indicates a relationship where one element serves as the primary or unifying theme that conceptually links or organizes the other element(s).
-
E.
thematicArea
Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.