Triple
T13517958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molching |
E322816
|
entity |
| Predicate | hasResident |
P6481
|
FINISHED |
| Object | Max Vandenburg |
E324413
|
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: Max Vandenburg | Statement: [Molching, hasResident, Max Vandenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Vandenburg Context triple: [Molching, hasResident, Max Vandenburg]
-
A.
Max Vandenburg
chosen
Max Vandenburg is a young Jewish man hiding from the Nazis in Markus Zusak’s novel "The Book Thief," whose friendship with Liesel Meminger profoundly shapes the story’s emotional core.
-
B.
Alexander Conklin
Alexander Conklin is a high-ranking, morally ambiguous CIA operative who oversees covert programs and serves as a key antagonist in the Bourne series.
-
C.
Adrian Vandenberg
Adrian Vandenberg is a Dutch rock guitarist best known for his work with Whitesnake and his own band Vandenberg.
-
D.
Daniel Krumitz
Daniel Krumitz is a brilliant but socially awkward FBI cyber forensics expert featured as a central character in the television series CSI: Cyber.
-
E.
Frank Warfield
Frank Warfield was an American Negro league infielder and manager known for his strong defensive play and leadership during the early 20th century.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d93a2608190a3a693bf4086a010 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.