Triple
T15676469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Fabian |
E377456
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lara Fabian |
E377456
|
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: Lara Fabian | Statement: [Lara Fabian, name, Lara Fabian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Fabian Context triple: [Lara Fabian, name, Lara Fabian]
-
A.
Lara Fabian
chosen
Lara Fabian is a Belgian-Canadian singer and songwriter renowned for her powerful vocals and emotive pop ballads in multiple languages, especially French.
-
B.
Natacha St-Pier
Natacha St-Pier is a Canadian francophone pop singer known for her successful career in the French-speaking music world, including representing France at the Eurovision Song Contest in 2001.
-
C.
Celine Dion
Celine Dion is a Canadian singer renowned worldwide for her powerful vocals and hit ballads such as "My Heart Will Go On."
-
D.
Nana Mouskouri
Nana Mouskouri is a Greek singer renowned worldwide for her distinctive clear voice, multilingual repertoire, and prolific recording career spanning several decades.
-
E.
Mireille Mathieu
Mireille Mathieu is a French chanteuse renowned for her powerful voice, classic chanson repertoire, and international success since the 1960s.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6edd85148190b6d5c3981204dd77 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.