Triple
T21449874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Making Love |
E529179
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Michael Ontkean |
—
|
NE NERFINISHED |
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 Ontkean | Statement: [Making Love, castMember, Michael Ontkean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Ontkean Context triple: [Making Love, castMember, Michael Ontkean]
-
A.
Michael Ontkean
chosen
Michael Ontkean is a Canadian actor best known for his roles in the cult ice hockey film "Slap Shot" and the television series "Twin Peaks."
-
B.
Ken Daurio
Ken Daurio is an American screenwriter best known for co-writing popular animated films such as Despicable Me, The Lorax, and The Secret Life of Pets.
-
C.
Michael Aloni
Michael Aloni is an Israeli actor and filmmaker best known internationally for his starring role in the acclaimed television drama "Shtisel."
-
D.
Michael Nouri
Michael Nouri is an American actor best known for his roles in films like "Flashdance" and numerous television series, including "NCIS" and "Damages."
-
E.
Andrew Miano
Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d281c0819080c3f8a58947a115 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.