Triple
T938310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulham F.C. |
E20246
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object | Shahid Khan |
E106056
|
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: Shahid Khan | Statement: [Fulham F.C., chairman, Shahid Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahid Khan Context triple: [Fulham F.C., chairman, Shahid Khan]
-
A.
Shahid Khan
chosen
Shahid Khan is a Pakistani-American billionaire businessman and sports tycoon best known as the owner of the NFL’s Jacksonville Jaguars and the English football club Fulham FC.
-
B.
Mukesh Ambani
Mukesh Ambani is an Indian billionaire industrialist and chairman of Reliance Industries, one of the largest conglomerates in India.
-
C.
Micky Arison
Micky Arison is an Israeli-American billionaire businessman best known as the longtime chairman of Carnival Corporation and owner of the NBA’s Miami Heat.
-
D.
Vivek Ranadivé
Vivek Ranadivé is an Indian-American technology entrepreneur and investor best known as the owner and chairman of the NBA’s Sacramento Kings.
-
E.
Gagan Biyani
Gagan Biyani is an entrepreneur best known as a co-founder of the online learning platform Udemy and for his work in the education technology sector.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826e0dd188190bf5776a6e4525fdd |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:40 p.m.