Triple
T18673410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clearlake Capital |
E456537
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object |
Arta Tabaee
Arta Tabaee is a senior executive and key investment professional at the private equity firm Clearlake Capital.
|
E1337884
|
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: Arta Tabaee | Statement: [Clearlake Capital, keyPerson, Arta Tabaee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arta Tabaee Context triple: [Clearlake Capital, keyPerson, Arta Tabaee]
-
A.
Laleh Pourkarim
Laleh Pourkarim is an Iranian-Swedish singer-songwriter, producer, and former actress known for her genre-blending pop music and introspective lyrics.
-
B.
Soraya Taheri
Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
-
C.
Sia Alipour
Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
-
D.
Anahita Ratebzad
Anahita Ratebzad was an Afghan communist politician, feminist, and government minister who became one of the most prominent female leaders in Afghanistan’s People’s Democratic Party.
-
E.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
- 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: Arta Tabaee Triple: [Clearlake Capital, keyPerson, Arta Tabaee]
Generated description
Arta Tabaee is a senior executive and key investment professional at the private equity firm Clearlake Capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arta Tabaee Target entity description: Arta Tabaee is a senior executive and key investment professional at the private equity firm Clearlake Capital.
-
A.
Laleh Pourkarim
Laleh Pourkarim is an Iranian-Swedish singer-songwriter, producer, and former actress known for her genre-blending pop music and introspective lyrics.
-
B.
Soraya Taheri
Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
-
C.
Sia Alipour
Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
-
D.
Anahita Ratebzad
Anahita Ratebzad was an Afghan communist politician, feminist, and government minister who became one of the most prominent female leaders in Afghanistan’s People’s Democratic Party.
-
E.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
- 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_6a052351551c8190a37d83e1bfc4ac1e |
completed | May 14, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a0523f354f88190a34b2e6adb809fb3 |
completed | May 14, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0527e23154819087cd70bd40ef39e5 |
completed | May 14, 2026, 1:39 a.m. |
Created at: April 10, 2026, 11:48 a.m.