Triple
T18673413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clearlake Capital |
E456537
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object |
Matt Brubaker
Matt Brubaker is a senior executive and influential leader at the private equity firm Clearlake Capital.
|
E1339784
|
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: Matt Brubaker | Statement: [Clearlake Capital, keyPerson, Matt Brubaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Brubaker Context triple: [Clearlake Capital, keyPerson, Matt Brubaker]
-
A.
Matt Luber
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
-
B.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
C.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
D.
Ryan Brant
Ryan Brant was an American businessman best known as the founding CEO of video game publisher Take-Two Interactive, the company behind major franchises like Grand Theft Auto.
-
E.
Frank Braley
Frank Braley is a French classical pianist renowned for his refined interpretations of the Romantic and French repertoire and for his extensive work as a chamber musician.
- 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: Matt Brubaker Triple: [Clearlake Capital, keyPerson, Matt Brubaker]
Generated description
Matt Brubaker is a senior executive and influential leader at the private equity firm Clearlake Capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Brubaker Target entity description: Matt Brubaker is a senior executive and influential leader at the private equity firm Clearlake Capital.
-
A.
Matt Luber
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
-
B.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
C.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
D.
Ryan Brant
Ryan Brant was an American businessman best known as the founding CEO of video game publisher Take-Two Interactive, the company behind major franchises like Grand Theft Auto.
-
E.
Frank Braley
Frank Braley is a French classical pianist renowned for his refined interpretations of the Romantic and French repertoire and for his extensive work as a chamber musician.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b41cd881908f37bf7c85e96559 |
completed | April 19, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05324a96c88190a50c8ffb30fdf71c |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a053312e27c8190a570558563baf8cd |
completed | May 14, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05339f415481909cfc5864a9a4b35a |
completed | May 14, 2026, 2:29 a.m. |
Created at: April 10, 2026, 11:48 a.m.