Triple
T3825167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby Ridge standoff |
E88668
|
entity |
| Predicate | hasCasualty |
P1399
|
FINISHED |
| Object | Samuel Weaver |
E394258
|
NE 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: Samuel Weaver | Statement: [Ruby Ridge standoff, hasCasualty, Samuel Weaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Weaver Context triple: [Ruby Ridge standoff, hasCasualty, Samuel Weaver]
-
A.
Samuel Weaver
chosen
Samuel Weaver was the teenage son of Randy Weaver who was fatally shot by U.S. marshals during the 1992 Ruby Ridge standoff in Idaho.
-
B.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
C.
Samuel Gray
Samuel Gray was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel American revolutionary sentiment.
-
D.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
E.
Samuel Anderson
Samuel Anderson is a British actor best known for his work in television and theatre, including notable roles in series like "Doctor Who" and "Emmerdale."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb6364fc8190bf8401743f1695d5 |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b528345dec81909231d60781020b7b |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 9, 2026, 3:17 p.m.