Triple
T4868859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Don't Do Me Like That" |
E109036
|
entity |
| Predicate | hasCatchyHooks |
P24936
|
FINISHED |
| Object | true |
—
|
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: true | Statement: ["Don't Do Me Like That", hasCatchyHooks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchyHooks Context triple: ["Don't Do Me Like That", hasCatchyHooks, true]
-
A.
hasHook
chosen
Indicates that one entity possesses, is equipped with, or features a hook in relation to another entity or context.
-
B.
incorporatesFalsettoHook
Indicates that the musical piece includes a prominent hook or refrain sung in falsetto.
-
C.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
D.
hasComb
Indicates that an entity possesses or is equipped with a comb.
-
E.
hasCP
Indicates that an entity possesses, is associated with, or is characterized by a specific CP (such as a control point, contact person, or configuration parameter), depending on the domain context.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.