Triple
T28669228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Man Warner |
E725663
|
entity |
| Predicate | viewOnLottery |
P22009
|
FINISHED |
| Object | sees it as necessary for the village’s well-being |
—
|
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: sees it as necessary for the village’s well-being | Statement: [Old Man Warner, viewOnLottery, sees it as necessary for the village’s well-being]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnLottery Context triple: [Old Man Warner, viewOnLottery, sees it as necessary for the village’s well-being]
-
A.
viewOnInterest
Indicates a perspective, opinion, or stance that one entity holds regarding a particular interest or topic.
-
B.
viewOnRace
Indicates a person's beliefs, attitudes, or perspectives regarding race and racial issues.
-
C.
viewOnGood
Indicates a positive or approving perspective held toward something.
-
D.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
E.
viewOnParticulars
chosen
Indicates a relationship where an entity holds or expresses a specific perspective, opinion, or stance about particular details, cases, or instances.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 5:02 a.m.