Triple
T31287473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's Work |
E797840
|
entity |
| Predicate | hasNextSingle |
P25313
|
FINISHED |
| Object | Throwaway |
—
|
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: Throwaway | Statement: [Let's Work, hasNextSingle, Throwaway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNextSingle Context triple: [Let's Work, hasNextSingle, Throwaway]
-
A.
nextSingle
chosen
Indicates that one entity is the immediately following single item in a sequence or ordered set relative to another entity.
-
B.
hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
-
C.
hasSingle
Indicates that an entity possesses exactly one instance of a specified related entity or attribute.
-
D.
hasCurrentSuccessor
Indicates that one entity is the immediate next or following entity in a current, ordered sequence or progression of another entity.
-
E.
hasContinuation
Indicates that one entity serves as a continuation or subsequent part of another entity in a sequence or process.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fedfd913f48190bdcd450980868d9a |
completed | May 9, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fedf58c6e88190821a7156054c9086 |
completed | May 9, 2026, 7:16 a.m. |
Created at: April 29, 2026, 9:14 p.m.