Triple
T522465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Giggs |
E10847
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Giggs |
E10847
|
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: Giggs | Statement: [Ryan Giggs, familyName, Giggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giggs Context triple: [Ryan Giggs, familyName, Giggs]
-
A.
Ryan Giggs
chosen
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.
-
B.
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.
-
C.
Paul Scholes
Paul Scholes is an English former professional footballer widely regarded as one of the greatest midfielders of his generation, known for his passing, vision, and long-range shooting.
-
D.
Eric Cantona
Eric Cantona is a charismatic former French footballer renowned for his influential role in Manchester United’s dominance in the early 1990s and his iconic, often controversial, presence on and off the pitch.
-
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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23dca0c8190b240bb7c9fb8b799 |
completed | March 1, 2026, 9:40 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.