Triple
T1424536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Clark |
E30299
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James Clark |
E30299
|
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 Clark | Statement: [James Clark, name, James Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Clark Context triple: [James Clark, name, James Clark]
-
A.
James Clark
chosen
James Clark is a notable figure in the web and technology community recognized for his significant contributions to open standards and digital publishing.
-
B.
Sterling Clark
Sterling Clark was an American art collector and philanthropist best known for founding the Clark Art Institute in Williamstown, Massachusetts.
-
C.
James Fleet
James Fleet is a British actor known for his character roles in film, television, and theatre, including appearances in works like "Four Weddings and a Funeral" and numerous BBC comedies.
-
D.
Thomas Parkhurst
Thomas Parkhurst was a 17th-century London bookseller and publisher known for issuing prominent Puritan and religious works.
-
E.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4bc145c8190a2d7a1d755d18251 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c9999b0819086573fb974952f63 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8 p.m.