Triple
T10367836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heartbreaker |
E244300
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jérémy Doner |
E861452
|
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: Jérémy Doner | Statement: [Heartbreaker, screenwriter, Jérémy Doner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jérémy Doner Context triple: [Heartbreaker, screenwriter, Jérémy Doner]
-
A.
Jeremy Doner
Jeremy Doner is a screenwriter best known for co-writing the 2022 biographical musical film "Elvis."
-
B.
Jeremy Doner
chosen
Jeremy Doner is an American screenwriter known for his work in film and television, including co-writing the screenplay for the biographical drama "Heartbreaker."
-
C.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
D.
Joshua Sternin
Joshua Sternin is an American television writer and producer known for his work on animated and live-action series, including co-creating the 2012 Teenage Mutant Ninja Turtles TV adaptation.
-
E.
Jason Dirden
Jason Dirden is an American stage and screen actor known for his work on Broadway and in television dramas.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e64109881908c42a4fbcfd057be |
completed | April 10, 2026, 4:36 a.m. |
Created at: April 6, 2026, noon