Triple
T13580881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Vandenburg |
E324413
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Markus Zusak |
E322815
|
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: Markus Zusak | Statement: [Max Vandenburg, creator, Markus Zusak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markus Zusak Context triple: [Max Vandenburg, creator, Markus Zusak]
-
A.
Markus Zusak
chosen
Markus Zusak is an Australian novelist best known for his internationally acclaimed World War II–set novel "The Book Thief."
-
B.
Mark Haddon
Mark Haddon is a British author best known for his award-winning novel "The Curious Incident of the Dog in the Night-Time," which has been widely acclaimed and adapted for stage and screen.
-
C.
Mitchell Burgess
Mitchell Burgess is an American television writer and producer best known for his work on the acclaimed HBO series *The Sopranos*.
-
D.
Yann Martel
Yann Martel is a Canadian author best known for his philosophical novel "Life of Pi," which achieved international acclaim and widespread popularity.
-
E.
Brian Selznick
Brian Selznick is an American author and illustrator best known for his innovative, cinematic illustrated novels for children, including *The Invention of Hugo Cabret*.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b05c844c8190bb4b72d2400a6355 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:48 p.m.