Triple
T13906536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Posh Spice |
E334366
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Romeo Beckham |
E67449
|
NE FINISHED |
How this triple was built (2 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: Romeo Beckham | Statement: [Posh Spice, hasChild, Romeo Beckham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romeo Beckham Context triple: [Posh Spice, hasChild, Romeo Beckham]
-
A.
Romeo Beckham
chosen
Romeo Beckham is a British footballer and model, best known as the son of former England captain David Beckham and fashion designer Victoria Beckham.
-
B.
Peter Beckham
Peter Beckham is an individual associated with the use or ownership of an item or brand linked to the Beckham name.
-
C.
Danny Beckham
Danny Beckham is an individual associated with the use of the name or brand "Beckham," likely in a personal or professional context.
-
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.
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25dc26cc8190a7909980b1d34933 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce7638a88190aae1b59c00ee27ce |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.