Triple
T18673418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clearlake Capital |
E456537
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object |
Jennifer Hurson
Jennifer Hurson is a prominent executive and key leader at private equity firm Clearlake Capital, involved in driving the firm’s strategic and investment initiatives.
|
E1337888
|
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: Jennifer Hurson | Statement: [Clearlake Capital, keyPerson, Jennifer Hurson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Hurson Context triple: [Clearlake Capital, keyPerson, Jennifer Hurson]
-
A.
Grace Van Dien
Grace Van Dien is an American actress and streamer known for roles in projects like "Stranger Things" and "The Village."
-
B.
Jennifer Bransford
Jennifer Bransford is an American actress best known for her work in television soap operas and other TV roles.
-
C.
Katherine Spiegel
Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
-
D.
Jennifer Hirsch
Jennifer Hirsch is known as the sister of American actor Emile Hirsch.
-
E.
Keren Rice
Keren Rice is a Canadian linguist renowned for her extensive work on Indigenous languages of North America, particularly Athabaskan languages, and for her contributions to language documentation and revitalization.
- 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: Jennifer Hurson Triple: [Clearlake Capital, keyPerson, Jennifer Hurson]
Generated description
Jennifer Hurson is a prominent executive and key leader at private equity firm Clearlake Capital, involved in driving the firm’s strategic and investment initiatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Hurson Target entity description: Jennifer Hurson is a prominent executive and key leader at private equity firm Clearlake Capital, involved in driving the firm’s strategic and investment initiatives.
-
A.
Grace Van Dien
Grace Van Dien is an American actress and streamer known for roles in projects like "Stranger Things" and "The Village."
-
B.
Jennifer Bransford
Jennifer Bransford is an American actress best known for her work in television soap operas and other TV roles.
-
C.
Katherine Spiegel
Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
-
D.
Jennifer Hirsch
Jennifer Hirsch is known as the sister of American actor Emile Hirsch.
-
E.
Keren Rice
Keren Rice is a Canadian linguist renowned for her extensive work on Indigenous languages of North America, particularly Athabaskan languages, and for her contributions to language documentation and revitalization.
- 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.