Triple
T5188693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Just when you thought it was safe to go back in the water..." |
E117094
|
entity |
| Predicate | hasEllipsis |
P61977
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: ["Just when you thought it was safe to go back in the water...", hasEllipsis, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEllipsis Context triple: ["Just when you thought it was safe to go back in the water...", hasEllipsis, yes]
-
A.
hasAbbreviationDots
Indicates that an abbreviation is written with periods (dots) between its letters or components.
-
B.
hasFullStop
Indicates that one entity terminates or is marked with a full stop (period) punctuation.
-
C.
hasEnd
Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
-
D.
hasEnding
Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
-
E.
hasBracket
Indicates that one entity possesses, includes, or is associated with a bracket component or structure.
- F. None of above. chosen
Provenance (4 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c732b48190af62dfffcbc5e3a6 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:46 p.m.