Triple
T4750030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gully |
E105454
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tom Ortenberg
Tom Ortenberg is an American film executive and distributor known for leading companies like Open Road Films and playing a key role in releasing numerous acclaimed independent and studio movies.
|
E473939
|
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: Tom Ortenberg | Statement: [Gully, producer, Tom Ortenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Ortenberg Context triple: [Gully, producer, Tom Ortenberg]
-
A.
Barry Eisenberg
Barry Eisenberg is the father of former child actress Hallie Kate Eisenberg, known for her Pepsi commercials and film roles in the late 1990s and early 2000s.
-
B.
Alan Baumgarten
Alan Baumgarten is an American film editor known for his work on a variety of feature films and television projects.
-
C.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
D.
Dan Lebental
Dan Lebental is an American film editor best known for his long-time collaboration with director Jon Favreau on major studio films such as the Iron Man series.
-
E.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
- 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: Tom Ortenberg Triple: [Gully, producer, Tom Ortenberg]
Generated description
Tom Ortenberg is an American film executive and distributor known for leading companies like Open Road Films and playing a key role in releasing numerous acclaimed independent and studio movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Ortenberg Target entity description: Tom Ortenberg is an American film executive and distributor known for leading companies like Open Road Films and playing a key role in releasing numerous acclaimed independent and studio movies.
-
A.
Barry Eisenberg
Barry Eisenberg is the father of former child actress Hallie Kate Eisenberg, known for her Pepsi commercials and film roles in the late 1990s and early 2000s.
-
B.
Alan Baumgarten
Alan Baumgarten is an American film editor known for his work on a variety of feature films and television projects.
-
C.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
D.
Dan Lebental
Dan Lebental is an American film editor best known for his long-time collaboration with director Jon Favreau on major studio films such as the Iron Man series.
-
E.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c83af48190bd57be79c1505e9d |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c8e7c74819080b7a5d3995954dd |
completed | March 21, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69be5efdf88481908165609068de9273 |
completed | March 21, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5f63d5d881909c2f8bf29152903f |
completed | March 21, 2026, 9:05 a.m. |
Created at: March 20, 2026, 1:20 p.m.