Triple
T21880780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willey family disaster of 1826 |
E540272
|
entity |
| Predicate | killedApproximateNumberOfPeople |
P122935
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Willey family disaster of 1826, killedApproximateNumberOfPeople, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killedApproximateNumberOfPeople Context triple: [Willey family disaster of 1826, killedApproximateNumberOfPeople, 9]
-
A.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event or action.
-
B.
massacreCasualtiesEstimate
Indicates an estimated number of people who were killed or injured as a result of a massacre.
-
C.
numberOfPeopleReportedKilled
chosen
Indicates the reported count of people who have been killed in an incident or event.
-
D.
estimatedPrisonersKilled
Indicates the estimated number of prisoners who were killed in a given context or event.
-
E.
numberOfPeopleKilledOnGround
Indicates the count of people who were killed on the ground as a result of the event or incident.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e7a3c48190be1cc285ad4b6496 |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:04 p.m.