Triple
T13797208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pi |
E331547
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Oren Sarch
Oren Sarch is a professional audio mastering engineer and editor known for his work on music and post-production projects.
|
E1102388
|
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: Oren Sarch | Statement: [Pi, editor, Oren Sarch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oren Sarch Context triple: [Pi, editor, Oren Sarch]
-
A.
Jonathan Hadary
Jonathan Hadary is an American stage and screen actor known for his work in Broadway productions and various film and television roles.
-
B.
Philip Chosky
Philip Chosky was a philanthropist and benefactor known for his significant support of the arts, particularly theater.
-
C.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
D.
Oren Koules
Oren Koules is an American film and television producer and former hockey executive best known for co-creating and producing the Saw horror franchise.
-
E.
Neil Meron
Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
- 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: Oren Sarch Triple: [Pi, editor, Oren Sarch]
Generated description
Oren Sarch is a professional audio mastering engineer and editor known for his work on music and post-production projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oren Sarch Target entity description: Oren Sarch is a professional audio mastering engineer and editor known for his work on music and post-production projects.
-
A.
Jonathan Hadary
Jonathan Hadary is an American stage and screen actor known for his work in Broadway productions and various film and television roles.
-
B.
Philip Chosky
Philip Chosky was a philanthropist and benefactor known for his significant support of the arts, particularly theater.
-
C.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
D.
Oren Koules
Oren Koules is an American film and television producer and former hockey executive best known for co-creating and producing the Saw horror franchise.
-
E.
Neil Meron
Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d72a17c8190b63f9f441731917d |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6de8b640819098adc7fb05acba7a |
completed | May 8, 2026, 5 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6fadf9b0819086ef8ffec340d7c6 |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 9, 2026, 10:11 p.m.