Triple
T18742599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny the Way It Is |
E458327
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Stefan Lessard |
—
|
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: Stefan Lessard | Statement: [Funny the Way It Is, writer, Stefan Lessard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Lessard Context triple: [Funny the Way It Is, writer, Stefan Lessard]
-
A.
Stefan Lessard
chosen
Stefan Lessard is an American bassist best known as the longtime bass player for the rock group Dave Matthews Band.
-
B.
Kevin Lepage
Kevin Lepage is an American professional stock car racing driver best known for his intermittent NASCAR Cup and Xfinity Series appearances from the 1990s through the 2000s.
-
C.
Ian Laperrière
Ian Laperrière is a retired Canadian professional ice hockey right winger who played over 1,000 NHL games, primarily known for his gritty, hard-working style and leadership.
-
D.
Guy Demers
Guy Demers is an individual notable enough to be specifically cited as a bearer of the surname Demers.
-
E.
Hugo Larochelle
Hugo Larochelle is a Canadian computer scientist and deep learning researcher known for his work in neural networks and his influential educational lectures and courses on machine learning.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768fc1f8819085a2abf129ade34b |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.