Triple
T15249730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Tuchman |
E364486
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tuchman |
E364486
|
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: Tuchman | Statement: [Barbara Tuchman, familyName, Tuchman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuchman Context triple: [Barbara Tuchman, familyName, Tuchman]
-
A.
Barbara Tuchman
chosen
Barbara Tuchman was a Pulitzer Prize–winning American historian and author renowned for her narrative histories such as "The Guns of August" and "A Distant Mirror."
-
B.
Walter Tuchman
Walter Tuchman is a cryptographer best known for his role in the development of the Data Encryption Standard (DES) at IBM.
-
C.
Brinkley
Brinkley is a surname most notably associated with American newscaster David Brinkley, a pioneering figure in 20th-century broadcast journalism.
-
D.
Follett
Follett is a surname most prominently associated with British author Ken Follett, known for his bestselling historical and thriller novels.
-
E.
Antonia Fraser
Antonia Fraser is a British historian and biographer renowned for her popular works on European royalty and major figures of British history.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f62b9c8190b9ad40e2d1912b63 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd4ac4e48190b011b34cb5205b68 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.