Triple
T13233777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Huber |
E315090
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Huber |
E315090
|
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: Robert Huber | Statement: [Robert Huber, name, Robert Huber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Huber Context triple: [Robert Huber, name, Robert Huber]
-
A.
Robert Huber
chosen
Robert Huber is a German biochemist and Nobel Prize laureate renowned for his pioneering work in determining the three-dimensional structures of proteins using X-ray crystallography.
-
B.
Thomas Steitz
Thomas Steitz was an American biochemist and Nobel laureate renowned for his pioneering structural studies of the ribosome.
-
C.
Hans Waloschek
Hans Waloschek was a German architect best known for designing Hamburg’s iconic Heinrich-Hertz-Turm telecommunications tower.
-
D.
Hartmut Michel
Hartmut Michel is a German biochemist and Nobel laureate renowned for elucidating the structure of membrane proteins, particularly the photosynthetic reaction center.
-
E.
Venki Ramakrishnan
Venki Ramakrishnan is a Nobel Prize–winning structural biologist renowned for his pioneering work on the structure and function of the ribosome.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2dca2c81909cab1aa868ad575d |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:22 p.m.