Triple
T9867393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Greenstreet |
E239867
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | John Ogden Greenstreet |
E239867
|
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: John Ogden Greenstreet | Statement: [Sydney Greenstreet, child, John Ogden Greenstreet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ogden Greenstreet Context triple: [Sydney Greenstreet, child, John Ogden Greenstreet]
-
A.
John Ogden Greenstreet
chosen
John Ogden Greenstreet was the son of renowned British character actor Sydney Greenstreet, known for his work in classic Hollywood films of the 1940s.
-
B.
Charles Edward Greene
Charles Edward Greene, better known as "Mean" Joe Greene, is a Hall of Fame defensive tackle who became an iconic figure of the Pittsburgh Steelers' dominant 1970s teams.
-
C.
Charles Holbrook
Charles Holbrook is a person notable enough to be recognized as a prominent bearer of the surname Holbrook.
-
D.
Joseph Borden McKean
Joseph Borden McKean was an American lawyer and jurist who served as Attorney General of Pennsylvania in the early 19th century.
-
E.
Paul Gilpin
Paul Gilpin is a cinematographer best known for his work on the adventure film "Tarzan and the Lost City."
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d209ac8190b9bc9ff017a132da |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d60b2f8819087f4242f36b05a49 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:36 p.m.