Triple
T19322110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emile Martel |
E483250
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Yann Martel |
—
|
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: Yann Martel | Statement: [Emile Martel, hasChild, Yann Martel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yann Martel Context triple: [Emile Martel, hasChild, Yann Martel]
-
A.
Yann Martel
chosen
Yann Martel is a Canadian author best known for his philosophical novel "Life of Pi," which achieved international acclaim and widespread popularity.
-
B.
Markus Zusak
Markus Zusak is an Australian novelist best known for his internationally acclaimed World War II–set novel "The Book Thief."
-
C.
Joseph Coelho
Joseph Coelho is a British poet, playwright, and children's author renowned for his engaging, inclusive poetry and stories that inspire young readers.
-
D.
Paulo Coelho
Paulo Coelho is a Brazilian novelist best known for his inspirational allegorical works such as "The Alchemist," which have achieved worldwide popularity and influence.
-
E.
Vikas Swarup
Vikas Swarup is an Indian diplomat and novelist best known for his debut novel "Q & A," which was adapted into the Oscar-winning film "Slumdog Millionaire."
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8948948190b76a384041333509 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.