Triple
T38367903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inversion |
E892499
|
entity |
| Predicate | associatedWithCharacteristic |
P185614
|
FINISHED |
| Object | rhythmic complexity |
—
|
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: rhythmic complexity | Statement: [Inversion, associatedWithCharacteristic, rhythmic complexity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCharacteristic Context triple: [Inversion, associatedWithCharacteristic, rhythmic complexity]
-
A.
associatedWithFanBaseCharacteristic
Indicates that an entity is linked to a particular trait, behavior, or defining quality of a fan base.
-
B.
sharedCharacteristic
Indicates that two or more entities possess the same specified attribute or quality.
-
C.
associatedWithAttribute
chosen
Indicates that one entity is linked to, characterized by, or described through a particular attribute.
-
D.
hasCharacterAssociated
Indicates that one entity is linked to or connected with a particular character (such as a person, figure, or persona) in some relevant way.
-
E.
associatedWithCharacterGroup
Indicates that an entity has a connection or affiliation with a particular group of characters.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.