Triple
T15441231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiz |
E369904
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | James Graham |
E1158134
|
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: James Graham | Statement: [Quiz, writer, James Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Graham Context triple: [Quiz, writer, James Graham]
-
A.
James Graham
James Graham was a 17th-century Scottish nobleman, soldier, and poet best known for leading Royalist forces during the Wars of the Three Kingdoms.
-
B.
James Graham
James Graham is a pseudonym used by British thriller novelist Jack Higgins, famed for his bestselling espionage and war-themed novels.
-
C.
James Graham
chosen
James Graham is an internet entrepreneur best known for founding and developing the online quiz platform Quiz.
-
D.
James Graham
James Graham is the father of American actress Heather Graham.
-
E.
James Graham Fair
James Graham Fair was a 19th-century Irish-American mining magnate, U.S. Senator from Nevada, and one of the famed "Bonanza Kings" who made a fortune from the Comstock Lode silver mines.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf7ce7c8190810ef35b6e37254d |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:21 a.m.