Triple
T14134243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dos Passos |
E350247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dos Passos |
E347944
|
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: Dos Passos | Statement: [John Dos Passos, familyName, Dos Passos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dos Passos Context triple: [John Dos Passos, familyName, Dos Passos]
-
A.
Dos Passos
chosen
Dos Passos is the surname of John Dos Passos, an influential American novelist best known for his modernist U.S.A. trilogy.
-
B.
Dos Ríos
Dos Ríos is a rural locality in eastern Cuba historically known as the site where Cuban national hero José Martí was killed in battle during the War of Independence.
-
C.
Rinehart
Rinehart is a small unincorporated community located in the U.S. state of Missouri.
-
D.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
E.
Tournier
Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf14439c81908b2a9999a35cc346 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 9, 2026, 11:45 p.m.