Triple
T7354865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Slugger’s Wife |
E169596
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Michael O’Keefe |
E377599
|
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: Michael O’Keefe | Statement: [The Slugger’s Wife, stars, Michael O’Keefe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael O’Keefe Context triple: [The Slugger’s Wife, stars, Michael O’Keefe]
-
A.
Michael O’Keefe
chosen
Michael O’Keefe is an American actor best known for his role as young caddie Danny Noonan in the classic comedy film "Caddyshack."
-
B.
Tom Kilpatrick
Tom Kilpatrick was a screenwriter best known for his work on the 1940 science fiction horror film "Dr. Cyclops."
-
C.
Richard J. Donovan
Richard J. Donovan was a California legislator and public servant after whom the Richard J. Donovan Correctional Facility in San Diego County is named.
-
D.
Brian Rogers
Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
-
E.
Tom Ryan
Tom Ryan is the central protagonist of the television series "The Unit," depicted as a highly skilled and seasoned leader of an elite U.S. Army special operations team.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d0aebc8190a7274fbcd3fe11ff |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:05 p.m.