Triple
T2834376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvis (2022 film) |
E62314
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Jeremy Doner
Jeremy Doner is a screenwriter best known for co-writing the 2022 biographical musical film "Elvis."
|
E350145
|
NE FINISHED |
How this triple was built (4 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: Jeremy Doner | Statement: [Elvis (2022 film), screenwriter, Jeremy Doner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Doner Context triple: [Elvis (2022 film), screenwriter, Jeremy Doner]
-
A.
Joshua Michael Stern
Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
-
B.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
-
C.
Joel Stransky
Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
-
D.
Jeremy Adelman
Jeremy Adelman is a composer best known for creating music for television, including the series "Hart of Dixie."
-
E.
Jason Fuchs
Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeremy Doner Triple: [Elvis (2022 film), screenwriter, Jeremy Doner]
Generated description
Jeremy Doner is a screenwriter best known for co-writing the 2022 biographical musical film "Elvis."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeremy Doner Target entity description: Jeremy Doner is a screenwriter best known for co-writing the 2022 biographical musical film "Elvis."
-
A.
Joshua Michael Stern
Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
-
B.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
-
C.
Joel Stransky
Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
-
D.
Jeremy Adelman
Jeremy Adelman is a composer best known for creating music for television, including the series "Hart of Dixie."
-
E.
Jason Fuchs
Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
- F. None of above. chosen
Provenance (5 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdec18b808190aedae2ed11d53b15 |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324d0152881909526cf9079560dc6 |
completed | March 12, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69b32571dfa48190875c7c83bac368ac |
completed | March 12, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b325dd73b08190bae32d7ffa582ade |
completed | March 12, 2026, 8:45 p.m. |
Created at: March 6, 2026, 10:01 p.m.