Triple
T12799856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cash Boy |
E305985
|
entity |
| Predicate | workEthicEmphasis |
P67882
|
FINISHED |
| Object | hard work leads to success |
—
|
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: hard work leads to success | Statement: [The Cash Boy, workEthicEmphasis, hard work leads to success]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workEthicEmphasis Context triple: [The Cash Boy, workEthicEmphasis, hard work leads to success]
-
A.
focusesOnWork
Indicates that an entity directs its attention, effort, or primary activity toward work-related tasks or responsibilities.
-
B.
workBehavior
chosen
Indicates how an entity typically acts, performs, or conducts itself in a work or professional context.
-
C.
moralPositionInWork
Indicates the moral or ethical stance that an entity holds or expresses within a particular work (such as a text, artwork, or performance).
-
D.
worksOver
Indicates that one entity performs work that extends beyond or exceeds a certain limit, threshold, or standard associated with another entity.
-
E.
work focus
Indicates that an entity’s primary professional attention, effort, or activity is concentrated on a particular subject, task, or area.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6f858c8190915ede38e9a6a2df |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.