Triple
T19824523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parren J. Mitchell |
E476285
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Parren
Parren is a given name most notably associated with Parren J. Mitchell, a pioneering African American U.S. Congressman from Maryland and civil rights advocate.
|
E1397258
|
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: Parren | Statement: [Parren J. Mitchell, givenName, Parren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parren Context triple: [Parren J. Mitchell, givenName, Parren]
-
A.
Perrineau
Perrineau is the surname of American actor Harold Perrineau, known for his roles in television series like "Lost" and "Oz."
-
B.
Parnans
Parnans is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
-
C.
Parsenn
Parsenn is a major ski and mountain sports area in the Swiss Alps, renowned for its extensive slopes and connection to the resort town of Davos.
-
D.
Pearre
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
-
E.
Parun
Parun is a small town in eastern Afghanistan that serves as the administrative and political center of Nuristan Province.
- 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: Parren Triple: [Parren J. Mitchell, givenName, Parren]
Generated description
Parren is a given name most notably associated with Parren J. Mitchell, a pioneering African American U.S. Congressman from Maryland and civil rights advocate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parren Target entity description: Parren is a given name most notably associated with Parren J. Mitchell, a pioneering African American U.S. Congressman from Maryland and civil rights advocate.
-
A.
Perrineau
Perrineau is the surname of American actor Harold Perrineau, known for his roles in television series like "Lost" and "Oz."
-
B.
Parnans
Parnans is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
-
C.
Parsenn
Parsenn is a major ski and mountain sports area in the Swiss Alps, renowned for its extensive slopes and connection to the resort town of Davos.
-
D.
Pearre
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
-
E.
Parun
Parun is a small town in eastern Afghanistan that serves as the administrative and political center of Nuristan Province.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e655017c188190ae9e17ae6b0eee05 |
completed | April 20, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccd3f4308190879396a336026a83 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07cf6713108190a887b91e26da1ca5 |
completed | May 16, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d008357081908bff9ebfbda41ba1 |
completed | May 16, 2026, 2:01 a.m. |
Created at: April 10, 2026, 1:50 p.m.