Triple
T18841689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuckerhütl |
E460812
|
entity |
| Predicate | parentPeak |
P1319
|
FINISHED |
| Object | Wilder Freiger |
—
|
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: Wilder Freiger | Statement: [Zuckerhütl, parentPeak, Wilder Freiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilder Freiger Context triple: [Zuckerhütl, parentPeak, Wilder Freiger]
-
A.
Wilder Freiger
chosen
Wilder Freiger is a prominent mountain peak in the Central Eastern Alps, straddling the border between Austria and Italy and popular with climbers for its glaciated terrain and panoramic views.
-
B.
Frank Grau
Frank Grau is a musician best known as a former member of the experimental rock band Sleepytime Gorilla Museum.
-
C.
Anthony Kilhoffer
Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
-
D.
William Wiegand
William Wiegand was an American writer and critic known for his contributions to mid-20th-century literary culture.
-
E.
Henry Freulich
Henry Freulich was an American cinematographer known for his extensive work on Hollywood films from the 1930s through the 1950s, particularly at Columbia Pictures.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8ea35c88190af6659551ad18130 |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.