Triple
T4452190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior |
E97636
|
entity |
| Predicate | roleInThemes |
P11527
|
FINISHED |
| Object | explores power dynamics in intimate relationships |
—
|
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: explores power dynamics in intimate relationships | Statement: [Junior, roleInThemes, explores power dynamics in intimate relationships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInThemes Context triple: [Junior, roleInThemes, explores power dynamics in intimate relationships]
-
A.
roleInRhyme
Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
-
B.
roleInText
chosen
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
C.
roleInTSEliotLife
Indicates the specific role, involvement, or significance an entity had in T. S. Eliot’s life.
-
D.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
E.
roleInStories
Indicates the specific function, position, or character part an entity plays within one or more stories.
- 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_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. |
Created at: March 12, 2026, 11:33 p.m.