Triple
T12547518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Geiger |
E300010
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Geiger |
E682056
|
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: Geiger | Statement: [Roy Geiger, familyName, Geiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geiger Context triple: [Roy Geiger, familyName, Geiger]
-
A.
Geiger
chosen
Geiger is a German surname most famously associated with physicist Hans Geiger, co-inventor of the Geiger counter for detecting ionizing radiation.
-
B.
Geissler
Geissler is a character in Knut Hamsun’s novel "Growth of the Soil," serving as a former land surveyor whose shrewdness and intermittent interventions significantly influence the fate of the rural community.
-
C.
Gunter
Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
-
D.
Geiger Grade
Geiger Grade is a historic mountain pass and roadway in Nevada that connects Reno to Virginia City through the Virginia Range.
-
E.
Barkla
Barkla is a surname most notably associated with Charles Glover Barkla, the British physicist and Nobel laureate recognized for his work on X-ray spectroscopy.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95481ba28819099f7cd2de02e8837 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655826bbc8190af20858342c008ff |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:58 p.m.