Triple
T2804101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Freed |
E54011
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Arthur Grossman
Arthur Grossman is the birth name of Arthur Freed, the influential American film producer and lyricist best known for his work on classic MGM musicals.
|
E357443
|
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: Arthur Grossman | Statement: [Arthur Freed, birthName, Arthur Grossman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Grossman Context triple: [Arthur Freed, birthName, Arthur Grossman]
-
A.
Douglas Shulman
Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
-
B.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
C.
Paul Preuss
Paul Preuss is a science fiction author known for his hard-SF novels and collaborations, including work with Arthur C. Clarke.
-
D.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
-
E.
Tom Garfinkel
Tom Garfinkel is a sports executive best known for leading the business operations and strategic development of the NFL’s Miami Dolphins and their home stadium.
- 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: Arthur Grossman Triple: [Arthur Freed, birthName, Arthur Grossman]
Generated description
Arthur Grossman is the birth name of Arthur Freed, the influential American film producer and lyricist best known for his work on classic MGM musicals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Grossman Target entity description: Arthur Grossman is the birth name of Arthur Freed, the influential American film producer and lyricist best known for his work on classic MGM musicals.
-
A.
Douglas Shulman
Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
-
B.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
C.
Paul Preuss
Paul Preuss is a science fiction author known for his hard-SF novels and collaborations, including work with Arthur C. Clarke.
-
D.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
-
E.
Tom Garfinkel
Tom Garfinkel is a sports executive best known for leading the business operations and strategic development of the NFL’s Miami Dolphins and their home stadium.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde1409148190a06a401185a26b64 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3544e32a0819087d554982f443b1d |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b358312fc881908d0f56ab1f56e78c |
completed | March 13, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b358e305548190b861e5ecbb59fa56 |
completed | March 13, 2026, 12:22 a.m. |
Created at: March 6, 2026, 9:59 p.m.