Triple
T9339986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckham |
E224738
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Samuel Beckham
Samuel Beckham is an individual associated with the use or ownership of an item or concept referred to by the name Beckham.
|
E800387
|
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 Beckham | Statement: [Beckham, usedBy, Samuel Beckham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Beckham Context triple: [Beckham, usedBy, Samuel Beckham]
-
A.
Samuel Barnett
Samuel Barnett is an English actor best known for originating the role of Posner in Alan Bennett’s play "The History Boys" on stage and screen.
-
B.
Samuel Barnett
Samuel Barnett was a British clergyman and social reformer best known for pioneering the university settlement movement and co-founding Toynbee Hall in London’s East End.
-
C.
Samuel Dale
Samuel Dale was an American frontiersman, soldier, and politician known for his role in the Creek War and early Alabama history.
-
D.
Samuel Beazley
Samuel Beazley was a prominent 19th-century English architect and dramatist known for designing several notable London theatres.
-
E.
Samuel Black
Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
- 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 Beckham Triple: [Beckham, usedBy, Samuel Beckham]
Generated description
Samuel Beckham is an individual associated with the use or ownership of an item or concept referred to by the name Beckham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Beckham Target entity description: Samuel Beckham is an individual associated with the use or ownership of an item or concept referred to by the name Beckham.
-
A.
Samuel Barnett
Samuel Barnett is an English actor best known for originating the role of Posner in Alan Bennett’s play "The History Boys" on stage and screen.
-
B.
Samuel Barnett
Samuel Barnett was a British clergyman and social reformer best known for pioneering the university settlement movement and co-founding Toynbee Hall in London’s East End.
-
C.
Samuel Dale
Samuel Dale was an American frontiersman, soldier, and politician known for his role in the Creek War and early Alabama history.
-
D.
Samuel Beazley
Samuel Beazley was a prominent 19th-century English architect and dramatist known for designing several notable London theatres.
-
E.
Samuel Black
Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bae2e2481909effc2dc89a642c5 |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1220267848190a02d8c075726c97a |
completed | April 4, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69d1231adb4481908fac11cae099d0de |
completed | April 4, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123fcc8f48190838abd08a4af0a63 |
completed | April 4, 2026, 2:45 p.m. |
Created at: March 30, 2026, 7:40 p.m.