Triple
T9339965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckham |
E224738
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Peter Beckham
Peter Beckham is an individual associated with the use or ownership of an item or brand linked to the Beckham name.
|
E794972
|
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: Peter Beckham | Statement: [Beckham, usedBy, Peter Beckham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Beckham Context triple: [Beckham, usedBy, Peter Beckham]
-
A.
Robert Beckham
Robert Beckham is an individual associated with the use or ownership of an item or concept referred to by the name Beckham.
-
B.
Robert Beckingham
Robert Beckingham was the founder and early benefactor of the historic Royal Grammar School in Guildford, England.
-
C.
Romeo Beckham
Romeo Beckham is a British footballer and model, best known as the son of former England captain David Beckham and fashion designer Victoria Beckham.
-
D.
Des Buckingham
Des Buckingham is an English football manager known for his successful tenure in Indian football, particularly in the Indian Super League.
-
E.
Brooklyn Beckham
Brooklyn Beckham is a British model, photographer, and media personality, known as the eldest son of footballer David Beckham and fashion designer Victoria Beckham.
- 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: Peter Beckham Triple: [Beckham, usedBy, Peter Beckham]
Generated description
Peter Beckham is an individual associated with the use or ownership of an item or brand linked to the Beckham name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Beckham Target entity description: Peter Beckham is an individual associated with the use or ownership of an item or brand linked to the Beckham name.
-
A.
Robert Beckham
Robert Beckham is an individual associated with the use or ownership of an item or concept referred to by the name Beckham.
-
B.
Robert Beckingham
Robert Beckingham was the founder and early benefactor of the historic Royal Grammar School in Guildford, England.
-
C.
Romeo Beckham
Romeo Beckham is a British footballer and model, best known as the son of former England captain David Beckham and fashion designer Victoria Beckham.
-
D.
Des Buckingham
Des Buckingham is an English football manager known for his successful tenure in Indian football, particularly in the Indian Super League.
-
E.
Brooklyn Beckham
Brooklyn Beckham is a British model, photographer, and media personality, known as the eldest son of footballer David Beckham and fashion designer Victoria Beckham.
- 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.