Triple
T4707171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Lucci |
E104416
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Andreas Huber |
E369458
|
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: Andreas Huber | Statement: [Susan Lucci, parentOf, Andreas Huber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Huber Context triple: [Susan Lucci, parentOf, Andreas Huber]
-
A.
Andreas Huber
chosen
Andreas Huber is a relatively common German-speaking personal name shared by multiple individuals across fields such as sports, engineering, and the arts.
-
B.
Markus Huber
Markus Huber is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Huber.
-
C.
Alexander Huber
Alexander Huber is a renowned German rock climber and mountaineer, famous for his bold free climbs, speed records, and groundbreaking ascents often undertaken with his brother Thomas Huber as part of the "Huberbuam" duo.
-
D.
Stefan Grube
Stefan Grube is a film editor best known for his work on the thriller "10 Cloverfield Lane."
-
E.
Bernd Huber
Bernd Huber is a German economist and academic who served as president of Ludwig Maximilian University of Munich.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63e9f0b88190820aa7fba2f91b6e |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77845de88190a93f666d8e9faf00 |
completed | March 21, 2026, 10:48 a.m. |
Created at: March 20, 2026, 1:17 p.m.