Triple
T17747623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fran Kranz |
E443028
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kranz |
—
|
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: Kranz | Statement: [Fran Kranz, familyName, Kranz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kranz Context triple: [Fran Kranz, familyName, Kranz]
-
A.
Kranz
chosen
Kranz is a German surname most notably associated with Gene Kranz, the NASA flight director famed for his leadership during the Apollo missions.
-
B.
Engelmann
Engelmann is a German-language surname borne by various notable individuals in fields such as science, arts, and academia.
-
C.
Schoen
Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
-
D.
Leuckart
Leuckart is a German surname most notably associated with zoologist and parasitologist Rudolf Leuckart.
-
E.
Collias
Collias is a picturesque village in southern France’s Gard department, known for its scenic setting along the Gorges du Gardon and its popularity for outdoor activities like kayaking and hiking.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad33160819093c9bbd3c8957314 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:10 a.m.