Triple
T22356352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuvraj Singh |
E552660
|
entity |
| Predicate | YouWeCanFocus |
P31
|
FINISHED |
| Object | cancer awareness and support |
—
|
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: cancer awareness and support | Statement: [Yuvraj Singh, YouWeCanFocus, cancer awareness and support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: YouWeCanFocus Context triple: [Yuvraj Singh, YouWeCanFocus, cancer awareness and support]
-
A.
focusesOnWork
Indicates that an entity directs its attention, effort, or primary activity toward work-related tasks or responsibilities.
-
B.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
modernFocus
Indicates a relationship where attention, emphasis, or primary relevance is directed toward contemporary or current aspects rather than historical or traditional ones.
-
D.
lessFocusOn
Indicates that one entity directs reduced attention, emphasis, or priority toward another entity or activity compared to alternatives.
-
E.
formerFocus
Indicates that an entity previously served as the primary focus or main subject of attention, but no longer holds that status.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d08b148190a9a4e445e8579219 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.