Triple
T9078373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Nicholson |
E217546
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Motherland |
E688279
|
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: Motherland | Statement: [William Nicholson, notableWork, Motherland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motherland Context triple: [William Nicholson, notableWork, Motherland]
-
A.
Motherland
Motherland is a symbolic representation of one’s native country, often personified as a nurturing homeland that embodies national identity, heritage, and patriotic devotion.
-
B.
Motherland
chosen
Motherland is a British television sitcom that satirically explores the chaotic lives of middle-class parents navigating school-gate politics and modern family pressures.
-
C.
Fatherland
Fatherland is the English name of Batkivshchyna, a major Ukrainian political party led for many years by Yulia Tymoshenko.
-
D.
Our Fatherland
"Our Fatherland" is the English title of "Mer Hayrenik," the national anthem of Armenia.
-
E.
Mother Country
"Mother Country" is a poem by Cuban-American writer Richard Blanco that reflects on themes of immigration, identity, and the complex notion of homeland.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe190c28819098ee017c75d72ad0 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:12 p.m.