Triple
T2286778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornel West |
E51408
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Cornel
Cornel is the given name of Cornel West, a prominent American philosopher, political activist, and public intellectual.
|
E253003
|
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: Cornel | Statement: [Cornel West, givenName, Cornel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornel Context triple: [Cornel West, givenName, Cornel]
-
A.
Aeltge Velthuys
Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
-
B.
Caspar
Caspar is one of the Three Wise Men in Christian tradition, often depicted as a king who visited the infant Jesus bearing gifts.
-
C.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
D.
Thaddaeus
Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
-
E.
Hollander
Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
- 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: Cornel Triple: [Cornel West, givenName, Cornel]
Generated description
Cornel is the given name of Cornel West, a prominent American philosopher, political activist, and public intellectual.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cornel Target entity description: Cornel is the given name of Cornel West, a prominent American philosopher, political activist, and public intellectual.
-
A.
Aeltge Velthuys
Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
-
B.
Caspar
Caspar is one of the Three Wise Men in Christian tradition, often depicted as a king who visited the infant Jesus bearing gifts.
-
C.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
D.
Thaddaeus
Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
-
E.
Hollander
Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24730208190af8a5cf443d334f7 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1b2a7c8190aa836f9feba2ce1a |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae8004fb6c81908f9fb1678f608419 |
completed | March 9, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae809ebfdc8190ae404d5711a58b59 |
completed | March 9, 2026, 8:11 a.m. |
Created at: March 4, 2026, 7:48 p.m.