Triple
T15897020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engel |
E385482
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Engelmann |
E857269
|
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: Engelmann | Statement: [Engel, hasVariant, Engelmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engelmann Context triple: [Engel, hasVariant, Engelmann]
-
A.
Engelmann
chosen
Engelmann is a German-language surname borne by various notable individuals in fields such as science, arts, and academia.
-
B.
Kranz
Kranz is a German surname most notably associated with Gene Kranz, the NASA flight director famed for his leadership during the Apollo missions.
-
C.
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.
-
D.
Redfield
Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
-
E.
Strassmann
Strassmann is a German surname most notably associated with Fritz Strassmann, the chemist who co-discovered nuclear fission.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15639c9748190b1115f74cbd61330 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04b55ec8190a5b3513b2afa4f83 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.