Triple
T19252002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet the Blacks |
E481415
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mike Tyson |
—
|
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: Mike Tyson | Statement: [Meet the Blacks, starring, Mike Tyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Tyson Context triple: [Meet the Blacks, starring, Mike Tyson]
-
A.
Mike Tyson
chosen
Mike Tyson is a former American heavyweight boxing champion renowned for his explosive power, intimidating style, and status as one of the most famous and controversial figures in boxing history.
-
B.
Tyson
Tyson is a character in the musical and film "Black Nativity," contributing to its contemporary retelling of the Nativity story through a modern African-American lens.
-
C.
Tyson
Tyson is the surname of Neil deGrasse Tyson, the prominent American astrophysicist, author, and science communicator.
-
D.
Tyson
Tyson is a major American brand of processed chicken and other meat products widely sold in grocery stores and foodservice outlets.
-
E.
Tyson
Tyson is a masculine given name commonly used in English-speaking countries.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb30bf6c819094c44aceb544a023 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.