Triple
T3204652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Have You Done for Me Lately |
E67131
|
entity |
| Predicate | helpedDefine |
P773
|
FINISHED |
| Object | Janet Jackson’s early public image |
—
|
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: Janet Jackson’s early public image | Statement: [What Have You Done for Me Lately, helpedDefine, Janet Jackson’s early public image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedDefine Context triple: [What Have You Done for Me Lately, helpedDefine, Janet Jackson’s early public image]
-
A.
defined
chosen
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
B.
secondDefinition
Indicates that one entity serves as an alternative or secondary definition or meaning for another entity.
-
C.
helpedCause
Indicates that one entity contributed to bringing about, enabling, or facilitating an outcome or event involving another entity.
-
D.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
E.
decipheredWithHelpOf
Indicates that something was successfully deciphered or interpreted through assistance provided by another entity or resource.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa54124c8190a22089ce2eaedab5 |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.