Triple
T18107800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoher Tenn |
E433389
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Thomas Groder |
—
|
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: Thomas Groder | Statement: [Hoher Tenn, firstAscentBy, Thomas Groder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Groder Context triple: [Hoher Tenn, firstAscentBy, Thomas Groder]
-
A.
Thomas Groder
chosen
Thomas Groder was an alpinist known for making the first recorded ascent of the Austrian mountain Glocknerwand.
-
B.
Tom Gries
Tom Gries was an American film and television director, producer, and screenwriter known for his work on action and Western projects in the 1960s and 1970s.
-
C.
Paul Groesse
Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
-
D.
Alvin Ganzer
Alvin Ganzer was an American film and television director best known for his work on mid-20th-century genre and anthology series.
-
E.
Jack Groetzinger
Jack Groetzinger is an American entrepreneur best known as a co-founder of the mobile-focused ticket marketplace SeatGeek.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddbb3d408190b5fc7870bc6512f4 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:28 a.m.