Triple
T20029366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happythankyoumoreplease |
E495079
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
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.
|
E1407806
|
NE FINISHED |
How this triple was built (4 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: Rasheen | Statement: [Happythankyoumoreplease, mainCharacter, Rasheen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasheen Context triple: [Happythankyoumoreplease, mainCharacter, Rasheen]
-
A.
Rashaad
Rashaad is a professional American football running back known for his time in the NFL, particularly with the Seattle Seahawks.
-
B.
Rashad
Rashad is a music producer best known for his work on Logic’s concept album "The Incredible True Story."
-
C.
Rashad
Rashad is a surname most prominently associated with American actress and director Phylicia Rashad.
-
D.
Rashad
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.
-
E.
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."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rasheen Triple: [Happythankyoumoreplease, mainCharacter, Rasheen]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rasheen Target entity description: 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.
-
A.
Rashaad
Rashaad is a professional American football running back known for his time in the NFL, particularly with the Seattle Seahawks.
-
B.
Rashad
Rashad is a surname most prominently associated with American actress and director Phylicia Rashad.
-
C.
Rashad
Rashad is a music producer best known for his work on Logic’s concept album "The Incredible True Story."
-
D.
Rashad
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.
-
E.
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."
- F. None of above. chosen
Provenance (5 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e332c1c8190b72a813d8f078b33 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080fdd67ac8190ae6e23cab4a5b89e |
completed | May 16, 2026, 6:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810a84da081908d5e662dccf38208 |
completed | May 16, 2026, 6:37 a.m. |
Created at: April 11, 2026, 3:36 p.m.