Triple
T14624250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History for Sale |
E343303
|
entity |
| Predicate | hasPart |
P35
|
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: [History for Sale, hasPart, James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Context triple: [History for Sale, hasPart, James]
-
A.
James
James is a common English surname of Hebrew origin, widely borne by notable figures in sports, politics, and the arts.
-
B.
James
chosen
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
-
C.
James
James is the middle name of Richard J. Oglesby, a 19th-century American politician and three-time governor of Illinois.
-
D.
James
James is the middle name of American author Robert James Waller, best known for writing "The Bridges of Madison County."
-
E.
James
James is the middle name of John James Beckley, the first Clerk of the U.S. House of Representatives and an early American political figure.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91437e08190a41683f1777a8507 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:26 a.m.