Triple
T9339991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckham |
E224738
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Kevin Beckham
Kevin Beckham is an individual associated with the use or ownership of something identified by the name Beckham.
|
E794977
|
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: Kevin Beckham | Statement: [Beckham, usedBy, Kevin Beckham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Beckham Context triple: [Beckham, usedBy, Kevin 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.
Michael Beckham
Michael Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
-
C.
Beckham
Beckham is the surname of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
-
D.
Robert Beckham
Robert Beckham is an individual associated with the use or ownership of an item or concept referred to by the name Beckham.
-
E.
Landon Donovan
Landon Donovan is a retired American soccer player widely regarded as one of the greatest in U.S. history, known for his prolific MLS and U.S. national team careers and numerous championships.
- 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: Kevin Beckham Triple: [Beckham, usedBy, Kevin Beckham]
Generated description
Kevin Beckham is an individual associated with the use or ownership of something identified by the name Beckham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Beckham Target entity description: Kevin Beckham is an individual associated with the use or ownership of something identified by the name 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.
Michael Beckham
Michael Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
-
C.
Beckham
Beckham is the surname of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
-
D.
Robert Beckham
Robert Beckham is an individual associated with the use or ownership of an item or concept referred to by the name Beckham.
-
E.
Landon Donovan
Landon Donovan is a retired American soccer player widely regarded as one of the greatest in U.S. history, known for his prolific MLS and U.S. national team careers and numerous championships.
- 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_69d0f3bad4388190ac53657027262a46 |
completed | April 4, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d0f49e229c8190a91452591aee2414 |
completed | April 4, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f71220588190b97d8fce942fbf50 |
completed | April 4, 2026, 11:33 a.m. |
Created at: March 30, 2026, 7:40 p.m.