Triple
T10610720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Grape |
E275998
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Ellen Grape |
E276000
|
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: Ellen Grape | Statement: [Bonnie Grape, hasChild, Ellen Grape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Grape Context triple: [Bonnie Grape, hasChild, Ellen Grape]
-
A.
Ellen Grape
chosen
Ellen Grape is a supporting character in the film "What's Eating Gilbert Grape," one of Gilbert and Arnie Grape's sisters in the Grape family.
-
B.
Ellen Drew
Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
-
C.
Ellen Louise
Ellen Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
-
D.
Ellen Greene
Ellen Greene is an American actress and singer best known for her distinctive voice and her role as Audrey in the musical and film "Little Shop of Horrors."
-
E.
Ellen Poplar
Ellen Poplar was the American-born wife of novelist Richard Wright, known for supporting his literary career and life in exile in France.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df59468881909b0c67d3f08c4b76 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98840243081908de4f6905bbfa4a0 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 7:32 p.m.