Triple
T389924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Pryor |
E8858
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pryor
Pryor is the surname of Richard Pryor, the influential American stand-up comedian and actor known for his incisive, boundary-pushing humor.
|
E49186
|
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: Pryor | Statement: [Richard Pryor, familyName, Pryor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pryor Context triple: [Richard Pryor, familyName, Pryor]
-
A.
Lamar
Lamar is a surname most notably associated with Mirabeau B. Lamar, the second president of the Republic of Texas.
-
B.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
C.
Burwell
Burwell is an English surname historically associated with several notable figures and families in Britain and the United States.
-
D.
Branson
Branson is the surname of British entrepreneur and Virgin Group founder Richard Branson.
-
E.
Cheyenne
Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
- 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: Pryor Triple: [Richard Pryor, familyName, Pryor]
Generated description
Pryor is the surname of Richard Pryor, the influential American stand-up comedian and actor known for his incisive, boundary-pushing humor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pryor Target entity description: Pryor is the surname of Richard Pryor, the influential American stand-up comedian and actor known for his incisive, boundary-pushing humor.
-
A.
Lamar
Lamar is a surname most notably associated with Mirabeau B. Lamar, the second president of the Republic of Texas.
-
B.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
C.
Burwell
Burwell is an English surname historically associated with several notable figures and families in Britain and the United States.
-
D.
Branson
Branson is the surname of British entrepreneur and Virgin Group founder Richard Branson.
-
E.
Cheyenne
Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5bdc848190826701590070497b |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4035310608190a1e0f807cb93e1e1 |
completed | March 1, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69a403a7c1488190a7773a5ae8a8cec7 |
completed | March 1, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40428b014819091c6534ba35a11ff |
completed | March 1, 2026, 9:17 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.