Triple
T5600980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Outpost |
E147117
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jonathan Yunger
Jonathan Yunger is a film producer known for his work on action and war dramas, including the military thriller "The Outpost."
|
E542680
|
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: Jonathan Yunger | Statement: [The Outpost, producer, Jonathan Yunger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Yunger Context triple: [The Outpost, producer, Jonathan Yunger]
-
A.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
B.
Eli Nunn
Eli Nunn is the child of English actress and writer Imogen Stubbs.
-
C.
Jared Kleinman
Jared Kleinman is a sarcastic, tech-savvy high school student who serves as comic relief and a reluctant accomplice in the musical "Dear Evan Hansen."
-
D.
Kurt Egyiawan
Kurt Egyiawan is a British-Nigerian actor known for his work in film, television, and theatre, including roles in projects such as "Beasts of No Nation" and "The Exorcist" TV series.
-
E.
Justin Furstenfeld
Justin Furstenfeld is an American singer, songwriter, and guitarist best known as the lead vocalist and primary lyricist of the rock band Blue October.
- 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: Jonathan Yunger Triple: [The Outpost, producer, Jonathan Yunger]
Generated description
Jonathan Yunger is a film producer known for his work on action and war dramas, including the military thriller "The Outpost."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Yunger Target entity description: Jonathan Yunger is a film producer known for his work on action and war dramas, including the military thriller "The Outpost."
-
A.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
B.
Eli Nunn
Eli Nunn is the child of English actress and writer Imogen Stubbs.
-
C.
Jared Kleinman
Jared Kleinman is a sarcastic, tech-savvy high school student who serves as comic relief and a reluctant accomplice in the musical "Dear Evan Hansen."
-
D.
Kurt Egyiawan
Kurt Egyiawan is a British-Nigerian actor known for his work in film, television, and theatre, including roles in projects such as "Beasts of No Nation" and "The Exorcist" TV series.
-
E.
Justin Furstenfeld
Justin Furstenfeld is an American singer, songwriter, and guitarist best known as the lead vocalist and primary lyricist of the rock band Blue October.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020da519c81908626b243e40db263 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a045c4881909a3e48a242db5d22 |
completed | March 22, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69c0767654a48190889caeb87fae7eef |
completed | March 22, 2026, 11:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c076e332d48190bd36ec9a1705602f |
completed | March 22, 2026, 11:10 p.m. |
Created at: March 22, 2026, 3:39 p.m.