Triple
T9339967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckham |
E224738
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Danny Beckham
Danny Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
|
E797706
|
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: Danny Beckham | Statement: [Beckham, usedBy, Danny Beckham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Beckham Context triple: [Beckham, usedBy, Danny Beckham]
-
A.
David Beckham
David Beckham is a former English footballer renowned worldwide for his precise crossing and free-kick ability, his success with club and country, and his status as a global sports icon.
-
B.
Beckham
Beckham is the surname of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
-
C.
Barry Beckham
Barry Beckham is an American novelist and playwright best known for his works exploring African American life and identity.
-
D.
Kevin Beckham
Kevin Beckham is an individual associated with the use or ownership of something identified by the name Beckham.
-
E.
Brice Beckham
Brice Beckham is an American actor best known for his role as Wesley T. Owens on the 1980s television sitcom "Mr. Belvedere."
- 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: Danny Beckham Triple: [Beckham, usedBy, Danny Beckham]
Generated description
Danny Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Beckham Target entity description: Danny Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
-
A.
David Beckham
David Beckham is a former English footballer renowned worldwide for his precise crossing and free-kick ability, his success with club and country, and his status as a global sports icon.
-
B.
Beckham
Beckham is the surname of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
-
C.
Barry Beckham
Barry Beckham is an American novelist and playwright best known for his works exploring African American life and identity.
-
D.
Kevin Beckham
Kevin Beckham is an individual associated with the use or ownership of something identified by the name Beckham.
-
E.
Brice Beckham
Brice Beckham is an American actor best known for his role as Wesley T. Owens on the 1980s television sitcom "Mr. Belvedere."
- 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_69d1078635648190ac908fd6bd7228b0 |
completed | April 4, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69d1087d01b08190aa4d17241244c26c |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1090215308190beda7c0115020f5b |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:40 p.m.