Triple
T22368836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATL |
E552983
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Rashad |
—
|
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: Rashad | Statement: [ATL, mainCharacter, Rashad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rashad Context triple: [ATL, mainCharacter, Rashad]
-
A.
Rashad
Rashad is a surname most prominently associated with American actress and director Phylicia Rashad.
-
B.
Rashad
Rashad is a music producer best known for his work on Logic’s concept album "The Incredible True Story."
-
C.
Rashad
chosen
Rashad is the central protagonist of the 2006 coming-of-age drama film "ATL," a responsible young man navigating family, love, and life in Atlanta’s roller-skating subculture.
-
D.
Rashaad
Rashaad is a professional American football running back known for his time in the NFL, particularly with the Seattle Seahawks.
-
E.
Rasheen
Rasheen is a young boy in the film "Happythankyoumoreplease" who becomes central to the emotional growth and self-discovery of the adults who take him in.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580229688190a6e5e02b484033f7 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.