Triple
T11050703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen Reagan |
E261237
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | John Filippone |
E261237
|
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 Filippone | Statement: [Maureen Reagan, spouse, John Filippone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Filippone Context triple: [Maureen Reagan, spouse, John Filippone]
-
A.
John Filippone
chosen
John Filippone was the husband of Maureen Reagan, the daughter of former U.S. President Ronald Reagan.
-
B.
Vince Filippone
Vince Filippone is a film editor known for his work on the science fiction action movie "Riddick."
-
C.
Jerry Filiciotto
Jerry Filiciotto was an American businessman and the husband of renowned singer Patti Page, with whom he co-owned and operated a country music theater in Branson, Missouri.
-
D.
Michael Fimognari
Michael Fimognari is an American cinematographer and director known for his work on films such as "Before I Fall" and the "To All the Boys I've Loved Before" series.
-
E.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798698bd88190aa97afd37f55e19f |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a6efa448190a9d95c5bd68ff34b |
completed | May 2, 2026, 4:46 p.m. |
Created at: April 8, 2026, 9:26 p.m.