Triple
T13580921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Vandenburg |
E324413
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Molching |
E322816
|
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: Molching | Statement: [Max Vandenburg, setIn, Molching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molching Context triple: [Max Vandenburg, setIn, Molching]
-
A.
Molching
chosen
Molching is a fictional small German town near Munich that serves as the primary backdrop for Markus Zusak’s World War II novel "The Book Thief."
-
B.
Milquetoast
"Milquetoast" is a popular alternative metal song by the American band Helmet, known for its heavy, riff-driven sound and association with the 1990s post-hardcore scene.
-
C.
Blatching
Blatching is a Quidditch foul in the Harry Potter universe involving a player flying with intent to collide with an opponent.
-
D.
Stinker
Stinker is a derisive nickname given to the character Gollum in J.R.R. Tolkien’s Middle-earth legendarium, particularly in The Lord of the Rings.
-
E.
Stinker
Stinker is the nickname of Harold "Stinker" Pinker, likely used as an informal or humorous moniker.
- 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_69f78ae008788190b3ebc09e73ec4952 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:48 p.m.