Triple
T8367915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Badge Dale |
E197379
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Anita Morris |
E363728
|
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: Anita Morris | Statement: [James Badge Dale, parent, Anita Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Morris Context triple: [James Badge Dale, parent, Anita Morris]
-
A.
Anita Morris
chosen
Anita Morris was an American actress, singer, and dancer known for her sultry screen presence and scene-stealing roles in film, television, and on Broadway.
-
B.
Eileen Fulton
Eileen Fulton is an American actress best known for originating and playing the iconic character Lisa Grimaldi on the long-running soap opera "As the World Turns" for several decades.
-
C.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
D.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
E.
Patricia Strawn
Patricia Strawn is known as the wife of American film producer Samuel Goldwyn Jr., a prominent figure in the Hollywood film industry.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808e56fc81908b5d37482f29452d |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d07719ee048190ac4045017d89e938 |
completed | April 4, 2026, 2:27 a.m. |
Created at: March 30, 2026, 6 p.m.