Triple
T17305880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Lawrence |
E420162
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Marcus Burnett |
E420161
|
NE FINISHED |
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: Marcus Burnett | Statement: [Martin Lawrence, notableCharacter, Marcus Burnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcus Burnett Context triple: [Martin Lawrence, notableCharacter, Marcus Burnett]
-
A.
Marcus Burnett
chosen
Marcus Burnett is a comedic yet principled Miami detective, portrayed by Martin Lawrence, best known as one half of the buddy-cop duo in the Bad Boys film series.
-
B.
Sherdrick Bonner
Sherdrick Bonner is a former American football quarterback best known for leading the Arizona Rattlers to multiple ArenaBowl championships in the Arena Football League.
-
C.
Kendu Isaacs
Kendu Isaacs is a music industry manager best known for his long-term marriage to and professional work with R&B singer Mary J. Blige.
-
D.
Haason Reddick
Haason Reddick is an American professional football linebacker known for his pass-rushing prowess in the NFL.
-
E.
Brian Burns
Brian Burns is an American screenwriter and producer known for his work in film and television, including contributions to popular comedies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e438ff3ee08190ab4c44a22f86b38b |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01954afb088190a92a0f32f901f13f |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.