Triple
T22541253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Across the Universe |
E557293
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Matthew Gross
Matthew Gross is a film and television producer best known for his work on projects such as the musical drama film "Across the Universe."
|
E1550924
|
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: Matthew Gross | Statement: [Across the Universe, producer, Matthew Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Gross Context triple: [Across the Universe, producer, Matthew Gross]
-
A.
Matthew Gross
Matthew Gross is a television producer best known for his work as an executive producer on the crime drama series "Body of Proof."
-
B.
Matthew Gross
Matthew Gross is a television and film producer best known for his work on the ABC drama series "Dirty Sexy Money."
-
C.
Mark Grossan
Mark Grossan is a television producer best known for his executive production work on the darkly comedic drama series "Why Women Kill."
-
D.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
E.
Jonathan Blumental
Jonathan Blumental is a film producer known for his work on the movie "The Lost Prince."
- 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: Matthew Gross Triple: [Across the Universe, producer, Matthew Gross]
Generated description
Matthew Gross is a film and television producer best known for his work on projects such as the musical drama film "Across the Universe."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Gross Target entity description: Matthew Gross is a film and television producer best known for his work on projects such as the musical drama film "Across the Universe."
-
A.
Matthew Gross
Matthew Gross is a television producer best known for his work as an executive producer on the crime drama series "Body of Proof."
-
B.
Matthew Gross
Matthew Gross is a television and film producer best known for his work on the ABC drama series "Dirty Sexy Money."
-
C.
Mark Grossan
Mark Grossan is a television producer best known for his executive production work on the darkly comedic drama series "Why Women Kill."
-
D.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
E.
Jonathan Blumental
Jonathan Blumental is a film producer known for his work on the movie "The Lost Prince."
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ebe91f48190916cf8c1cbe4ded1 |
completed | May 18, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_6a0b818bccd48190a5a6d2a4b48f48d7 |
completed | May 18, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b81ed765081909fe3499179a0393b |
completed | May 18, 2026, 9:17 p.m. |
Created at: April 16, 2026, 8:51 p.m.