Triple
T11338601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Green |
E268535
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Henry Green |
E472160
|
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: Henry Green | Statement: [John Green, hasChild, Henry Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Green Context triple: [John Green, hasChild, Henry Green]
-
A.
Henry Green
chosen
Henry Green was a 20th-century English novelist celebrated for his innovative, elliptical prose style and acute portrayals of class and everyday life.
-
B.
Albert Woolson
Albert Woolson was an American Civil War veteran widely recognized as the last surviving member of the Union veterans' organization, the Grand Army of the Republic.
-
C.
Wharton James
Wharton James was an early 20th-century film actor known for appearing in silent-era productions, including the 1920 adaptation of "Pollyanna."
-
D.
Herbert Greene
Herbert Greene was an American Broadway conductor and musical director best known for his work on classic mid-20th-century stage productions.
-
E.
Henry Bright
Henry Bright was a 19th-century English landscape painter associated with the Norwich School, known for his atmospheric rural scenes and skilled use of light and color.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5433d3e848190ad4f51c23d5a8bb2 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:33 p.m.