Triple
T14611144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Teen |
E342962
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Rashad |
unclear NED1
|
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: Rashad | Statement: [American Teen, producer, Rashad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rashad Context triple: [American Teen, producer, Rashad]
-
A.
Rashad
Rashad is a surname most prominently associated with American actress and director Phylicia Rashad.
-
B.
Rashaad
Rashaad is a professional American football running back known for his time in the NFL, particularly with the Seattle Seahawks.
-
C.
Rasheed
Rasheed is a masculine given name most notably associated with former NBA star Rasheed Wallace.
-
D.
Rashaan Nall
Rashaan Nall is an American actor, writer, and director known for his work in film and television, including roles in projects like "Cuts."
-
E.
Doug Rasheed
Doug Rasheed is an American music producer and songwriter best known for his work in hip-hop and R&B and for being married to singer Chaka Khan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91f437c8190ada4d1c3708faedd |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.