Triple
T20308530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Nicholson (disambiguation) |
E510168
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | James Nicholson (businessman) |
—
|
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: James Nicholson (businessman) | Statement: [James Nicholson (disambiguation), includes, James Nicholson (businessman)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Nicholson (businessman) Context triple: [James Nicholson (disambiguation), includes, James Nicholson (businessman)]
-
A.
James Nicholson
chosen
James Nicholson is a relatively common personal name shared by multiple individuals across various professions, including politics, business, and the military.
-
B.
Sam Nicholson
Sam Nicholson is an individual known primarily for being the romantic partner of Jared Cole.
-
C.
Sam Nicholson
Sam Nicholson is the protagonist of the film "Into the Blue," around whom the central underwater adventure and conflict revolve.
-
D.
Martin Nicholson
Martin Nicholson is a film editor known for his work on the science fiction movie "CB4."
-
E.
Robert Nichols
Robert Nichols is a relatively common personal name shared by multiple notable individuals across fields such as literature, politics, and the arts.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677411cf08190ba7e98a4135b643a |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.