Triple
T30080410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hook Up |
E764438
|
entity |
| Predicate | isCopyrighted |
P7333
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Hook Up, isCopyrighted, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCopyrighted Context triple: [The Hook Up, isCopyrighted, yes]
-
A.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
B.
hasCopyleft
Indicates that a work, license, or component is subject to copyleft terms requiring derivative or combined works to be distributed under the same or compatible license conditions.
-
C.
copyrightStatus
chosen
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
D.
copyrightModel
Indicates that one entity serves as the copyright or licensing model that governs the use, distribution, or protection of another entity.
-
E.
isCopyleft
Indicates that the subject is governed by a copyleft license, requiring derivative works to be distributed under the same or compatible licensing terms.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:02 p.m.