Triple
T20708710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Arne Riise |
E508974
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | Chennaiyin FC |
—
|
NE NERFINISHED |
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: Chennaiyin FC | Statement: [John Arne Riise, playedFor, Chennaiyin FC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chennaiyin FC Context triple: [John Arne Riise, playedFor, Chennaiyin FC]
-
A.
Chennaiyin FC
chosen
Chennaiyin FC is a professional football club based in Chennai, India, that competes in the Indian Super League and has won multiple league titles.
-
B.
Chennai City FC
Chennai City FC is an Indian professional football club based in Chennai, Tamil Nadu, best known for competing in the country’s I-League.
-
C.
Bengaluru FC
Bengaluru FC is a professional football club based in Bengaluru, India, competing in the Indian Super League and known for its strong fan base and domestic success.
-
D.
Hyderabad FC
Hyderabad FC is a professional football club based in Hyderabad, India, that competes in the Indian Super League.
-
E.
Mumbai FC
Mumbai FC was a professional football club based in Mumbai, India, that competed in the country’s top-tier leagues before being disbanded.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1961090819090daf7254f90a176 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:14 p.m.