Triple
T7811681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Massacre victims’ monument |
E180698
|
entity |
| Predicate | honors |
P2354
|
FINISHED |
| Object | Samuel Gray |
E42259
|
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 Gray | Statement: [Boston Massacre victims’ monument, honors, Samuel Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Gray Context triple: [Boston Massacre victims’ monument, honors, Samuel Gray]
-
A.
Samuel Gray
chosen
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.
-
B.
Samuel Weaver
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.
-
C.
Samuel Greg
Samuel Greg was an 18th–19th century British industrialist and prominent cotton manufacturer, best known as a leading figure of the early Industrial Revolution.
-
D.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
E.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78cd1cc8190b4cdd9850e1e2bb7 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdecc6c5c8190af4445928ce1132f |
completed | March 31, 2026, 2:48 p.m. |
Created at: March 30, 2026, 4:37 p.m.