Triple
T28669225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Man Warner |
E725663
|
entity |
| Predicate | participationCount |
P1131
|
FINISHED |
| Object | seventy-seven lotteries |
—
|
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: seventy-seven lotteries | Statement: [Old Man Warner, participationCount, seventy-seven lotteries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participationCount Context triple: [Old Man Warner, participationCount, seventy-seven lotteries]
-
A.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
estimatedParticipation
Indicates an approximate or predicted level, amount, or likelihood of an entity’s involvement in a given activity or event.
-
C.
participationModel
Indicates how entities are involved in or contribute to an activity, process, or interaction.
-
D.
participation
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
-
E.
participationIncludes
Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
- 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_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 28, 2026, 5:02 a.m.