Triple
T9339995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckham |
E224738
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Paul Beckham
Paul Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
|
E800388
|
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: Paul Beckham | Statement: [Beckham, usedBy, Paul Beckham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Beckham Context triple: [Beckham, usedBy, Paul Beckham]
-
A.
Peter Beckham
Peter Beckham is an individual associated with the use or ownership of an item or brand linked to the Beckham name.
-
B.
Danny Beckham
Danny Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
-
C.
Mark Beckham
Mark Beckham is an individual associated with the use or ownership of something identified by the name Beckham, though further specific public information about him is not clearly established.
-
D.
Robert Beckingham
Robert Beckingham was the founder and early benefactor of the historic Royal Grammar School in Guildford, England.
-
E.
Barry Beckham
Barry Beckham is an American novelist and playwright best known for his works exploring African American life and identity.
- 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: Paul Beckham Triple: [Beckham, usedBy, Paul Beckham]
Generated description
Paul 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: Paul Beckham Target entity description: Paul Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
-
A.
Peter Beckham
Peter Beckham is an individual associated with the use or ownership of an item or brand linked to the Beckham name.
-
B.
Danny Beckham
Danny Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
-
C.
Mark Beckham
Mark Beckham is an individual associated with the use or ownership of something identified by the name Beckham, though further specific public information about him is not clearly established.
-
D.
Robert Beckingham
Robert Beckingham was the founder and early benefactor of the historic Royal Grammar School in Guildford, England.
-
E.
Barry Beckham
Barry Beckham is an American novelist and playwright best known for his works exploring African American life and identity.
- 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.