Triple
T6333940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Cooper |
E142445
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Murphy Cooper |
E152496
|
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: Murphy Cooper | Statement: [Joseph Cooper, hasChild, Murphy Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murphy Cooper Context triple: [Joseph Cooper, hasChild, Murphy Cooper]
-
A.
Murphy Cooper
chosen
Murphy Cooper is a brilliant and determined scientist and the daughter of astronaut Joseph Cooper in the science-fiction film "Interstellar," whose research becomes pivotal to humanity's survival.
-
B.
Clancy Cooper
Clancy Cooper was an American character actor known for his numerous supporting roles in mid-20th-century films and television.
-
C.
Mickey Knox
Mickey Knox is the violent, media-sensationalized serial killer protagonist from the film "Natural Born Killers."
-
D.
Nat Hickey
Nat Hickey was an early professional basketball player and coach best known for briefly appearing in an NBA game at age 45, making him the oldest player in league history.
-
E.
Mutt Carey
Mutt Carey was an American jazz trumpeter known for his work in early New Orleans jazz bands and recordings, particularly in the 1920s and 1930s.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60424a5dc8190820970fce13776ac |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.