Triple
T20125033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Green |
E490728
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Manderson
Manderson is the surname of British rapper and television personality Professor Green, whose full name is Stephen Manderson.
|
E1412739
|
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: Manderson | Statement: [Professor Green, familyName, Manderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manderson Context triple: [Professor Green, familyName, Manderson]
-
A.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Manley
Manley is a small community located within Hamblen County in the state of Tennessee, United States.
-
D.
Manley
Manley is the given first name of Manley Lanier "Sonny" Carter Jr., an American physician, professional soccer player, naval officer, and NASA astronaut.
-
E.
Mendelson
Mendelson is a surname most notably associated with Lee Mendelson, the American television producer best known for his work on the Peanuts animated specials.
- 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: Manderson Triple: [Professor Green, familyName, Manderson]
Generated description
Manderson is the surname of British rapper and television personality Professor Green, whose full name is Stephen Manderson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manderson Target entity description: Manderson is the surname of British rapper and television personality Professor Green, whose full name is Stephen Manderson.
-
A.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
B.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
-
C.
Manley
Manley is a small community located within Hamblen County in the state of Tennessee, United States.
-
D.
Manley
Manley is the given first name of Manley Lanier "Sonny" Carter Jr., an American physician, professional soccer player, naval officer, and NASA astronaut.
-
E.
Mendelson
Mendelson is a surname most notably associated with Lee Mendelson, the American television producer best known for his work on the Peanuts animated specials.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667412b888190b43f7dd1ccdbad01 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dd9c1448190aa4038899470daf0 |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082e93a1e88190bac5daae12ece9f2 |
completed | May 16, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082f334dd481908edb6ea3ae07e0a7 |
completed | May 16, 2026, 8:47 a.m. |
Created at: April 11, 2026, 11:31 p.m.