Triple
T218165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Trafford |
E4153
|
entity |
| Predicate | namedBy |
P63
|
FINISHED |
| Object | Bobby Charlton |
E9462
|
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: Bobby Charlton | Statement: [Old Trafford, namedBy, Bobby Charlton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Charlton Context triple: [Old Trafford, namedBy, Bobby Charlton]
-
A.
Bobby Charlton
chosen
Bobby Charlton was an iconic English footballer renowned for his long and successful career with Manchester United and for helping England win the 1966 FIFA World Cup.
-
B.
Ryan Giggs
Ryan Giggs is a Welsh former professional footballer widely regarded as one of the greatest wingers of his generation and a club legend for his long, trophy-laden career at Manchester United.
-
C.
Ian Wright
Ian Wright is a New Zealand-born engineer and entrepreneur best known as one of the co-founders of electric vehicle company Tesla, Inc.
-
D.
George Best
George Best was a legendary Northern Irish footballer renowned for his dazzling skill, flair, and impact on Manchester United and world football in the 1960s and 1970s.
-
E.
Lee Dixon
Lee Dixon was an American actor and dancer best known for his work in mid-20th-century stage and film musicals.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c5062e48190833be10e4770e1e9 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3441e48b48190849c7bff04134ac9 |
completed | Feb. 28, 2026, 7:38 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.