Triple
T7966704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPZ Group |
E185222
|
entity |
| Predicate | parentOrganizationOf |
P254
|
FINISHED |
| Object | Perfect Songs |
E703427
|
NE 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: Perfect Songs | Statement: [SPZ Group, parentOrganizationOf, Perfect Songs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perfect Songs Context triple: [SPZ Group, parentOrganizationOf, Perfect Songs]
-
A.
Perfect Songs
chosen
Perfect Songs is a music publishing company associated with the SPZ Group, known for managing song rights and catalogs.
-
B.
9 Songs
9 Songs is a 2004 British art-house film known for its explicit depiction of a couple’s sexual relationship intercut with live rock concert performances.
-
C.
31 Songs
31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
-
D.
The Perfection
The Perfection is a psychological horror-thriller film starring Allison Williams that follows a twisted, suspenseful story set in the world of elite classical musicians.
-
E.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ba3f53c8190a0e9b3de2f1b9645 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc566afad88190b53f228d836619de |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:13 p.m.