Triple
T6488813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Something New |
E147981
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Mr. Peters
Mr. Peters is a fictional character who appears in the work titled "Something New."
|
E596658
|
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: Mr. Peters | Statement: [Something New, featuresCharacter, Mr. Peters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Peters Context triple: [Something New, featuresCharacter, Mr. Peters]
-
A.
Mr. Harris
Mr. Harris is the enslaver who legally owns and controls George Harris in the context of American slavery.
-
B.
Mr. Fletcher
Mr. Fletcher is the video store owner in the comedy film "Be Kind Rewind," around whose struggling VHS rental shop the movie’s events and homemade remakes revolve.
-
C.
Mr. Porter
Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
-
D.
Mr. Sands
Mr. Sands is a white slaveholder and the complex, often morally ambiguous love interest of the narrator in Harriet Jacobs’s autobiographical slave narrative "Incidents in the Life of a Slave Girl."
-
E.
Mr. McFeely
Mr. McFeely is the speedy, friendly delivery man on the children's television show "Mister Rogers' Neighborhood," known for his catchphrase "Speedy Delivery!"
- 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: Mr. Peters Triple: [Something New, featuresCharacter, Mr. Peters]
Generated description
Mr. Peters is a fictional character who appears in the work titled "Something New."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Peters Target entity description: Mr. Peters is a fictional character who appears in the work titled "Something New."
-
A.
Mr. Harris
Mr. Harris is the enslaver who legally owns and controls George Harris in the context of American slavery.
-
B.
Mr. Fletcher
Mr. Fletcher is the video store owner in the comedy film "Be Kind Rewind," around whose struggling VHS rental shop the movie’s events and homemade remakes revolve.
-
C.
Mr. Porter
Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
-
D.
Mr. Sands
Mr. Sands is a white slaveholder and the complex, often morally ambiguous love interest of the narrator in Harriet Jacobs’s autobiographical slave narrative "Incidents in the Life of a Slave Girl."
-
E.
Mr. McFeely
Mr. McFeely is the speedy, friendly delivery man on the children's television show "Mister Rogers' Neighborhood," known for his catchphrase "Speedy Delivery!"
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a97fff88190b6f993c14df62649 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653ba03288190ba4e4ce99d0ba32e |
completed | March 27, 2026, 9:54 a.m. |
| NEDg | Description generation | batch_69c655afe8b88190a4d9ba83126e71af |
completed | March 27, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c65613a30c81908c737122e1005290 |
completed | March 27, 2026, 10:04 a.m. |
Created at: March 22, 2026, 4:52 p.m.