Triple
T1190205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Eastland |
E25340
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | James |
E1815
|
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 | Statement: [James Eastland, givenName, James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Context triple: [James Eastland, givenName, James]
-
A.
James
chosen
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
-
B.
John
John is the given name of the 19th-century British philosopher and political economist John Stuart Mill, a key figure in liberal thought and utilitarianism.
-
C.
John
John E. Sununu is an American politician and engineer who served as a U.S. Representative and U.S. Senator from New Hampshire.
-
D.
John
John is the formal first name of Johnny Most, the famed American sports broadcaster known for his passionate radio commentary of Boston Celtics basketball games.
-
E.
John
John is the given name of John Polanyi, a Nobel Prize–winning chemist known for his work on chemical kinetics and reaction dynamics.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd58d8d88190b8d9c9c9de7f4e97 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad589d25308190afa71150fdbaed7a |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 1, 2026, 7:45 p.m.