Triple
T8982410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Green |
E214563
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Howard Charles Green |
E214563
|
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: Howard Charles Green | Statement: [Howard Green, name, Howard Charles Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Charles Green Context triple: [Howard Green, name, Howard Charles Green]
-
A.
Howard Green
chosen
Howard Green was a Canadian politician who served as the country's Secretary of State for External Affairs in the mid-20th century.
-
B.
Howard J. Green
Howard J. Green was an American screenwriter active during Hollywood’s early sound era, known for his work on several prominent 1930s films.
-
C.
Herbert Greene
Herbert Greene was an American Broadway conductor and musical director best known for his work on classic mid-20th-century stage productions.
-
D.
Howard Greenhalgh
Howard Greenhalgh is a British music video director known for his visually distinctive and often surreal work for major rock and pop artists in the 1990s and beyond.
-
E.
Christopher Greenbury
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a891e881909e4b84ed82491651 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc97617908190859d1e27248f43cf |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:03 p.m.