Triple
T15646157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Garibay |
E376181
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Kylie Minogue |
E140758
|
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: Kylie Minogue | Statement: [Fernando Garibay, associatedAct, Kylie Minogue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kylie Minogue Context triple: [Fernando Garibay, associatedAct, Kylie Minogue]
-
A.
Kylie Minogue
chosen
Kylie Minogue is an Australian pop singer, songwriter, and actress renowned for her decades-long music career and status as an international gay icon.
-
B.
Dani Minogue
Dani Minogue is an Australian singer, actress, and television personality known for her pop music career and roles as a talent show judge, as well as being the younger sister of Kylie Minogue.
-
C.
Kylie
Kylie is a popular given name notably borne by American media personality and businesswoman Kylie Jenner.
-
D.
Kylie Gillies
Kylie Gillies is an Australian television presenter best known as the longtime co-host of the Seven Network’s morning program The Morning Show.
-
E.
Tina Arena
Tina Arena is an Australian pop singer, songwriter, and musical theatre performer known for her powerful vocals and international hits such as "Chains" and "Sorrento Moon."
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6790f2288190add8ab0bc0f114bf |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.