Triple
T13694182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbershop |
E328341
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Tom Wright
Tom Wright is an actor known for his role in the film "Barbershop."
|
E1060952
|
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: Tom Wright | Statement: [Barbershop, castMember, Tom Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Wright Context triple: [Barbershop, castMember, Tom Wright]
-
A.
Tom Wright
Tom Wright is a British architect best known for designing Dubai’s iconic sail-shaped Burj Al Arab hotel.
-
B.
Ray Wright
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
-
C.
Chris Wright
Chris Wright is a British music industry executive best known as the co-founder of the influential record label Chrysalis Records.
-
D.
Jon Wright
Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
-
E.
Stephen T. Wright
Stephen T. Wright is an architect best known for his work on major commercial skyscrapers such as Chicago’s Two Prudential Plaza.
- 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: Tom Wright Triple: [Barbershop, castMember, Tom Wright]
Generated description
Tom Wright is an actor known for his role in the film "Barbershop."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Wright Target entity description: Tom Wright is an actor known for his role in the film "Barbershop."
-
A.
Tom Wright
Tom Wright is a British architect best known for designing Dubai’s iconic sail-shaped Burj Al Arab hotel.
-
B.
Ray Wright
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
-
C.
Chris Wright
Chris Wright is a British music industry executive best known as the co-founder of the influential record label Chrysalis Records.
-
D.
Jon Wright
Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
-
E.
Stephen T. Wright
Stephen T. Wright is an architect best known for his work on major commercial skyscrapers such as Chicago’s Two Prudential Plaza.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b063661481908da569084c20f37c |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b138158c8190957d43d529c37fa4 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e2e1b481908b74b5053e49fa38 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 9:54 p.m.