Triple
T3051734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The History Boys (Broadway production) |
E83584
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Samuel Anderson
Samuel Anderson is a British actor best known for his work in television and theatre, including notable roles in series like "Doctor Who" and "Emmerdale."
|
E327202
|
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: Samuel Anderson | Statement: [The History Boys (Broadway production), castMember, Samuel Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Anderson Context triple: [The History Boys (Broadway production), castMember, Samuel Anderson]
-
A.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
B.
Samuel Reynolds
Samuel Reynolds was the founder of St Edward's School in Oxford, an English educational institution established in the 19th century.
-
C.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
D.
Abraham Anderson
Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
-
E.
Samuel Gray
Samuel Gray was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel American revolutionary sentiment.
- 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: Samuel Anderson Triple: [The History Boys (Broadway production), castMember, Samuel Anderson]
Generated description
Samuel Anderson is a British actor best known for his work in television and theatre, including notable roles in series like "Doctor Who" and "Emmerdale."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Anderson Target entity description: Samuel Anderson is a British actor best known for his work in television and theatre, including notable roles in series like "Doctor Who" and "Emmerdale."
-
A.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
B.
Samuel Reynolds
Samuel Reynolds was the founder of St Edward's School in Oxford, an English educational institution established in the 19th century.
-
C.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
D.
Abraham Anderson
Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
-
E.
Samuel Gray
Samuel Gray was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel American revolutionary sentiment.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bf274f88190a759f9ce3da47c35 |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2034c337481909c1b1ae304b89c24 |
completed | March 12, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69b20482147c8190852110e01c0988f3 |
completed | March 12, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205d86ab0819084a352c0b634a026 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:01 p.m.