Triple
T36634301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Even Break (Never Give a Sucker) |
E904411
|
entity |
| Predicate | hasRhythmicApproach |
P7864
|
FINISHED |
| Object | unconventional |
—
|
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: unconventional | Statement: [An Even Break (Never Give a Sucker), hasRhythmicApproach, unconventional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRhythmicApproach Context triple: [An Even Break (Never Give a Sucker), hasRhythmicApproach, unconventional]
-
A.
hasRhythmicStyle
chosen
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
B.
hasRhythmInfluence
Indicates that one entity has influenced or shaped the rhythmic patterns, style, or timing characteristics of another entity.
-
C.
hasRhythmicOrigin
Indicates that something originates from, is derived from, or is fundamentally based on rhythm or rhythmic patterns.
-
D.
hasRhythmicComplexity
Indicates that one entity exhibits or involves a level of rhythmic intricacy or variation in relation to another entity or context.
-
E.
rhythmicOrganization
Indicates how temporal patterns, accents, and durations are structured or arranged in relation to one another within a sequence or system.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.