Triple
T15625628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Grandpa |
E375668
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jason Barrett
Jason Barrett is a film producer known for his work on the comedy movie "Dirty Grandpa."
|
E1170597
|
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: Jason Barrett | Statement: [Dirty Grandpa, producer, Jason Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Barrett Context triple: [Dirty Grandpa, producer, Jason Barrett]
-
A.
Matthew Barrett
Matthew Barrett is an Irish cardiologist best known as the long-term partner of former Taoiseach and current Tánaiste Leo Varadkar.
-
B.
Craig Barrett
Craig Barrett is an American business executive and engineer best known for serving as CEO and chairman of Intel Corporation.
-
C.
Larry Barrett
Larry Barrett was one of the judges who scored the historic 1975 heavyweight boxing match between Muhammad Ali and Joe Frazier, known as the "Thrilla in Manila."
-
D.
James Lee Barrett
James Lee Barrett was an American screenwriter and producer known for his work on films such as "Shenandoah," "The Greatest Story Ever Told," and "Fools' Parade."
-
E.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
- 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: Jason Barrett Triple: [Dirty Grandpa, producer, Jason Barrett]
Generated description
Jason Barrett is a film producer known for his work on the comedy movie "Dirty Grandpa."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jason Barrett Target entity description: Jason Barrett is a film producer known for his work on the comedy movie "Dirty Grandpa."
-
A.
Matthew Barrett
Matthew Barrett is an Irish cardiologist best known as the long-term partner of former Taoiseach and current Tánaiste Leo Varadkar.
-
B.
Craig Barrett
Craig Barrett is an American business executive and engineer best known for serving as CEO and chairman of Intel Corporation.
-
C.
Larry Barrett
Larry Barrett was one of the judges who scored the historic 1975 heavyweight boxing match between Muhammad Ali and Joe Frazier, known as the "Thrilla in Manila."
-
D.
James Lee Barrett
James Lee Barrett was an American screenwriter and producer known for his work on films such as "Shenandoah," "The Greatest Story Ever Told," and "Fools' Parade."
-
E.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ece07608190a705f108c8c2979a |
completed | May 9, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69ff6fb61144819085460226d406161d |
completed | May 9, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff705b1ea08190bf08b99c19715e57 |
completed | May 9, 2026, 5:35 p.m. |
Created at: April 10, 2026, 4:14 a.m.