Triple
T7961748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madea’s Big Happy Family |
E184881
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | Shad Moss |
E488697
|
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: Shad Moss | Statement: [Madea’s Big Happy Family, featuresActor, Shad Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shad Moss Context triple: [Madea’s Big Happy Family, featuresActor, Shad Moss]
-
A.
Porter Moss
Porter Moss was a prominent Negro league pitcher best known for his standout performances with the Memphis Red Sox in the 1930s and early 1940s.
-
B.
Pat Moss
Pat Moss was a pioneering British rally driver and equestrian, renowned as one of the most successful women in international motorsport during the mid-20th century.
-
C.
Symere Bysil Woods
chosen
Symere Bysil Woods is an American rapper, singer, and songwriter best known by the stage name Lil Uzi Vert, recognized for his emo-influenced trap music and energetic delivery.
-
D.
Christian Shank
Christian Shank was an early settler and landowner after whom the town of Shanksville, Pennsylvania, was named.
-
E.
Dave Moss
Dave Moss is a disgruntled, scheming real estate salesman in "Glengarry Glen Ross" who plots to steal valuable leads from his own firm.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe08c36f48190b005c6c92ad813d0 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.