Triple
T22323340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Robert Snow |
E551840
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Daniel Robert Snow |
—
|
NE NERFINISHED |
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: Daniel Robert Snow | Statement: [Daniel Robert Snow, name, Daniel Robert Snow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Robert Snow Context triple: [Daniel Robert Snow, name, Daniel Robert Snow]
-
A.
Daniel Robert Snow
chosen
Daniel Robert Snow is a British historian, television presenter, and author known for his engaging documentaries and books on military and world history.
-
B.
Michael Edward Welsh
Michael Edward Welsh was an American bassist and visual artist best known for his tenure with the rock band Weezer in the late 1990s and early 2000s.
-
C.
Daniel Roche
Daniel Roche is a British actor best known for playing Ben Brockman in the BBC sitcom "Outnumbered."
-
D.
Michael James Dodson
Michael James Dodson is an Australian Aboriginal leader, lawyer, and academic renowned for his advocacy on Indigenous rights and social justice.
-
E.
Sean S. Cunningham
Sean S. Cunningham is an American film director and producer best known for creating and directing the influential horror classic "Friday the 13th."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1576668b48190a78848c4a54acb39 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.