Triple
T22235764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning Point USA |
E549587
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Charlie Kirk
Charlie Kirk is a conservative political activist and commentator best known as the founder and leader of the youth-focused organization Turning Point USA.
|
E1526260
|
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: Charlie Kirk | Statement: [Turning Point USA, foundedBy, Charlie Kirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Kirk Context triple: [Turning Point USA, foundedBy, Charlie Kirk]
-
A.
Kevin Hicks
Kevin Hicks is a music producer known for his work on R&B recordings, including contributions to Aaliyah’s posthumous compilation album "I Care 4 U."
-
B.
Wesley Hunt
Wesley Hunt is a Republican politician and U.S. Representative from Texas known for his conservative positions and background as a West Point–educated Army veteran.
-
C.
Tom Flynn
Tom Flynn is a former American football safety who played in the NFL during the 1980s, notably for the Green Bay Packers and New York Giants.
-
D.
Tom Flynn
Tom Flynn was an American screenwriter best known for writing the 2017 drama film "Gifted."
-
E.
Darrell Cartrip
Darrell Cartrip is an anthropomorphic race car and excitable sports commentator in Pixar's Cars film series.
- 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: Charlie Kirk Triple: [Turning Point USA, foundedBy, Charlie Kirk]
Generated description
Charlie Kirk is a conservative political activist and commentator best known as the founder and leader of the youth-focused organization Turning Point USA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlie Kirk Target entity description: Charlie Kirk is a conservative political activist and commentator best known as the founder and leader of the youth-focused organization Turning Point USA.
-
A.
Kevin Hicks
Kevin Hicks is a music producer known for his work on R&B recordings, including contributions to Aaliyah’s posthumous compilation album "I Care 4 U."
-
B.
Wesley Hunt
Wesley Hunt is a Republican politician and U.S. Representative from Texas known for his conservative positions and background as a West Point–educated Army veteran.
-
C.
Tom Flynn
Tom Flynn is a former American football safety who played in the NFL during the 1980s, notably for the Green Bay Packers and New York Giants.
-
D.
Tom Flynn
Tom Flynn was an American screenwriter best known for writing the 2017 drama film "Gifted."
-
E.
Darrell Cartrip
Darrell Cartrip is an anthropomorphic race car and excitable sports commentator in Pixar's Cars film series.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae7b808c819091638601515b9737 |
completed | May 18, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_6a0ab14691dc81909765edd58c3dd719 |
completed | May 18, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab21edc4c8190b48a21e9594e6d35 |
completed | May 18, 2026, 6:30 a.m. |
Created at: April 16, 2026, 8:38 p.m.