Triple
T10622943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Shelby |
E250249
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | George Shelby |
E876170
|
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: George Shelby | Statement: [Arthur Shelby, parentOf, George Shelby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Shelby Context triple: [Arthur Shelby, parentOf, George Shelby]
-
A.
George Shelby
chosen
George Shelby is a lesser-known member of the Shelby family connected to Arthur Shelby in the Peaky Blinders universe.
-
B.
William Atticus Parker
William Atticus Parker is the son of American actress Mary-Louise Parker and actor Billy Crudup.
-
C.
Ned McCaslin
Ned McCaslin is a supporting character in William Faulkner’s novel "The Reivers," involved in the comic misadventures surrounding a stolen car and a trip from Mississippi to Memphis.
-
D.
Ned Washington
Ned Washington was an American lyricist renowned for his work on classic film songs and popular standards in the mid-20th century.
-
E.
Taylor Dooley
Taylor Dooley is an American actress best known for playing Lavagirl in the family adventure film "The Adventures of Sharkboy and Lavagirl in 3-D."
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7e5074819096668b53dcc9167a |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a356e548190ab7a4a2c7111ba89 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 8:51 p.m.