Triple
T37224992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cat That Hated People |
E922981
|
entity |
| Predicate | featuresContrast |
P199229
|
FINISHED |
| Object | Earthly annoyances versus bizarre lunar annoyances |
—
|
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: Earthly annoyances versus bizarre lunar annoyances | Statement: [The Cat That Hated People, featuresContrast, Earthly annoyances versus bizarre lunar annoyances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresContrast Context triple: [The Cat That Hated People, featuresContrast, Earthly annoyances versus bizarre lunar annoyances]
-
A.
achievesContrast
Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
-
B.
featuresLoudQuietContrast
Indicates a relationship where something is characterized by a strong contrast between loud and quiet elements.
-
C.
providesContrastWith
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
D.
includesContrast
chosen
Indicates that one element contains or incorporates a comparison highlighting differences between two or more entities or ideas.
-
E.
textureContrast
Indicates a relationship where two surfaces or regions differ noticeably in their tactile or visual texture qualities.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.