Triple
T34936179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What's the Matter with Kansas? |
E1007575
|
entity |
| Predicate | titlePhraseUsedAs |
P22461
|
FINISHED |
| Object | political catchphrase |
—
|
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: political catchphrase | Statement: [What's the Matter with Kansas?, titlePhraseUsedAs, political catchphrase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlePhraseUsedAs Context triple: [What's the Matter with Kansas?, titlePhraseUsedAs, political catchphrase]
-
A.
titlePhrase
chosen
Indicates that one entity is a phrase functioning as the title or name of another entity.
-
B.
usedTitleIn
Indicates that one entity employed or referenced another entity as a title in some context.
-
C.
usedAsTitleFrom
Indicates that something functions as a title derived from or originating from another source or context.
-
D.
usedAsTitleOn
Indicates that something functions as a title applied to or displayed on a particular entity.
-
E.
titleUsage
Indicates how a title is applied, referenced, or used in relation to an 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4 p.m.