Triple
T9337669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Cockrel Jr. |
E224686
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cockrel
Cockrel is a surname most notably associated with Detroit politician and former mayor Kenneth Cockrel Jr.
|
E792610
|
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: Cockrel | Statement: [Kenneth Cockrel Jr., familyName, Cockrel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cockrel Context triple: [Kenneth Cockrel Jr., familyName, Cockrel]
-
A.
Coker
Coker is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
-
B.
Barksdale
Barksdale is a surname most notably associated with American executive Jim Barksdale, former CEO of Netscape Communications.
-
C.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
-
D.
Burks-Brooks
Burks-Brooks is the hyphenated surname of civil rights activist Catherine Burks-Brooks, known for her role in the Freedom Rides during the U.S. Civil Rights Movement.
-
E.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
- 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: Cockrel Triple: [Kenneth Cockrel Jr., familyName, Cockrel]
Generated description
Cockrel is a surname most notably associated with Detroit politician and former mayor Kenneth Cockrel Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cockrel Target entity description: Cockrel is a surname most notably associated with Detroit politician and former mayor Kenneth Cockrel Jr.
-
A.
Coker
Coker is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
-
B.
Barksdale
Barksdale is a surname most notably associated with American executive Jim Barksdale, former CEO of Netscape Communications.
-
C.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
-
D.
Burks-Brooks
Burks-Brooks is the hyphenated surname of civil rights activist Catherine Burks-Brooks, known for her role in the Freedom Rides during the U.S. Civil Rights Movement.
-
E.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f312408190b5501432a6a855b7 |
completed | April 1, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3e28a488190aa9d70b5ceed8727 |
completed | April 4, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69d0e573af788190be4baaa3afb87ca2 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e607944c81909a421828595cd793 |
completed | April 4, 2026, 10:20 a.m. |
Created at: March 30, 2026, 7:40 p.m.