Triple
T6269689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All for Love |
E140497
|
entity |
| Predicate | helpedSolidify |
P19049
|
FINISHED |
| Object | New Edition status in mid-1980s music scene |
—
|
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: New Edition status in mid-1980s music scene | Statement: [All for Love, helpedSolidify, New Edition status in mid-1980s music scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedSolidify Context triple: [All for Love, helpedSolidify, New Edition status in mid-1980s music scene]
-
A.
helpedSecure
Indicates that one entity contributed to obtaining, protecting, or ensuring the safety or stability of another entity or outcome.
-
B.
helpedLegitimize
chosen
Indicates that one entity’s actions or support contributed to making another entity appear more credible, acceptable, or officially recognized.
-
C.
stabilizedBy
Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
-
D.
helpedCause
Indicates that one entity contributed to bringing about, enabling, or facilitating an outcome or event involving another entity.
-
E.
reinforcedIn
Indicates that one entity is strengthened, supported, or made more robust within, or as a result of conditions in, another entity or 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a3f1d081908ccff88db94b1f9c |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.