Triple
T22536232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What More Can I Say |
E557160
|
entity |
| Predicate | notableLineAbout |
P7250
|
FINISHED |
| Object | comparison to Eminem |
—
|
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: comparison to Eminem | Statement: [What More Can I Say, notableLineAbout, comparison to Eminem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLineAbout Context triple: [What More Can I Say, notableLineAbout, comparison to Eminem]
-
A.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
B.
notableTitleOnTheLine
Indicates that a significant or prestigious title is at stake or being contested in the associated event or context.
-
C.
notableText
chosen
Indicates that a particular piece of text is especially significant, prominent, or worthy of attention in relation to the associated entity or context.
-
D.
notableFact
Indicates that there exists a particularly significant or noteworthy fact or piece of information associated with the subject.
-
E.
notableSection
Indicates that a particular part or segment of something is especially important, prominent, or worthy of attention within the whole.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15edbd1ec81908ef26b9e442d1921 |
completed | April 29, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.