Triple
T16141497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Greg |
E391666
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Samuel Greg |
E391666
|
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 Greg | Statement: [Samuel Greg, name, Samuel Greg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Greg Context triple: [Samuel Greg, name, Samuel Greg]
-
A.
Samuel Greg
chosen
Samuel Greg was an 18th–19th century British industrialist and prominent cotton manufacturer, best known as a leading figure of the early Industrial Revolution.
-
B.
Samuel Ward
Samuel Ward was a 19th-century American banker and art patron known for commissioning significant works such as Thomas Cole’s "The Voyage of Life" series.
-
C.
Samuel Wells
Samuel Wells was an early American military leader who served as a key officer in frontier conflicts during the period of U.S. expansion into the Old Northwest.
-
D.
Samuel Joslin
Samuel Joslin is a British actor best known for his role as one of the sons in the 2012 disaster drama film "The Impossible."
-
E.
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.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a087c848190aba9ed2ccb422427 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f183d88190b269233ff6e65d75 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:01 a.m.