Triple
T3243713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Romance |
E68022
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Justin Raisen
Justin Raisen is an American record producer and songwriter known for his work with a wide range of indie, pop, and alternative artists.
|
E355755
|
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: Justin Raisen | Statement: [True Romance, producer, Justin Raisen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Raisen Context triple: [True Romance, producer, Justin Raisen]
-
A.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
B.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
C.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
D.
Ryan Lomberg
Ryan Lomberg is a Canadian professional ice hockey forward known for his energetic, physical style of play in the NHL.
-
E.
Jeremy Leary
Jeremy Leary is a voice actor best known for portraying the young version of Carl Fredricksen in Pixar’s animated film "Up."
- 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: Justin Raisen Triple: [True Romance, producer, Justin Raisen]
Generated description
Justin Raisen is an American record producer and songwriter known for his work with a wide range of indie, pop, and alternative artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Justin Raisen Target entity description: Justin Raisen is an American record producer and songwriter known for his work with a wide range of indie, pop, and alternative artists.
-
A.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
B.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
C.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
D.
Ryan Lomberg
Ryan Lomberg is a Canadian professional ice hockey forward known for his energetic, physical style of play in the NHL.
-
E.
Jeremy Leary
Jeremy Leary is a voice actor best known for portraying the young version of Carl Fredricksen in Pixar’s animated film "Up."
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1856708190b072efbb27920ade |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bb1c468819083b50b5858f8afe0 |
completed | March 12, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69b34ff5a3608190bf8f33ae25b3d1ba |
completed | March 12, 2026, 11:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b350b528e4819083497ecfaec5c80d |
completed | March 12, 2026, 11:48 p.m. |
Created at: March 8, 2026, 3:08 p.m.