Triple
T5936952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memphis Bleek |
E132066
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Beanie Sigel |
E133239
|
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: Beanie Sigel | Statement: [Memphis Bleek, associatedWith, Beanie Sigel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beanie Sigel Context triple: [Memphis Bleek, associatedWith, Beanie Sigel]
-
A.
Beanie Sigel
chosen
Beanie Sigel is an American rapper and actor from Philadelphia known for his gritty lyricism and work with Roc-A-Fella Records.
-
B.
Josh Srebnick
Josh Srebnick is a central character in the film "While We're Young," portrayed as a middle-aged documentary filmmaker grappling with ambition, authenticity, and aging in contrast to a younger creative couple.
-
C.
Ben Schnetzer
Ben Schnetzer is an American actor known for his roles in films such as "Pride," "The Book Thief," and the fantasy epic "Warcraft."
-
D.
Damani Leech
Damani Leech is an American sports executive known for his leadership roles in professional football, including serving as president of the Denver Broncos.
-
E.
Tempestt Bledsoe
Tempestt Bledsoe is an American actress best known for playing Vanessa Huxtable on the long-running sitcom "The Cosby Show."
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038eca9688190adeed21df058daf1 |
completed | March 22, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c06f979881908d7e98ee674f1ff2 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.