Triple
T20125031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Green |
E490728
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Professor Green |
—
|
NE NERFINISHED |
How this triple was built (2 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: Professor Green | Statement: [Professor Green, stageName, Professor Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Professor Green Context triple: [Professor Green, stageName, Professor Green]
-
A.
Professor Green
chosen
Professor Green is a British rapper and songwriter known for his witty lyricism, chart-topping singles, and appearances on UK television.
-
B.
Dr. Green
Dr. Green is a minor supporting character in the 1997 romantic comedy-drama film "As Good as It Gets."
-
C.
Dr. Greenthumb
"Dr. Greenthumb" is a popular 1998 hip-hop song by Cypress Hill, known for its humorous, cannabis-themed lyrics and distinctive persona created by rapper B-Real.
-
D.
Professor Fig
Professor Fig is a wise and supportive Hogwarts professor in the video game "Hogwarts Legacy" who mentors the player character through their magical journey and the central mystery of the story.
-
E.
Frank Greene
Frank Greene is an American jazz and studio trumpeter best known for his work as a member of the CBS Orchestra on the "Late Show with David Letterman."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 11, 2026, 11:31 p.m.