Triple
T2737189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Luther |
E60657
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Luther
Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
|
E301959
|
NE FINISHED |
How this triple was built (4 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: Luther | Statement: [Hans Luther, familyName, Luther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luther Context triple: [Hans Luther, familyName, Luther]
-
A.
Luther
Luther is a masculine given name of Germanic origin, most famously borne by civil rights leader Martin Luther King Jr. and R&B singer Luther Vandross.
-
B.
Luther
Luther is a British psychological crime drama television series starring Idris Elba as a brilliant but troubled detective.
-
C.
Martin Luther
Martin Luther was a 16th-century German theologian and key figure of the Protestant Reformation whose teachings challenged Catholic doctrine and reshaped Western Christianity.
-
D.
Martin Franz Luther
Martin Franz Luther was a German Nazi diplomat and SS official who served in the Foreign Office and participated in the administration of the Holocaust.
-
E.
Huldrych Zwingli
Huldrych Zwingli was a leading Swiss Protestant Reformer whose theological ideas helped lay the groundwork for later Reformed traditions, including Calvinism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Luther Triple: [Hans Luther, familyName, Luther]
Generated description
Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luther Target entity description: Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
-
A.
Luther
Luther is a British psychological crime drama television series starring Idris Elba as a brilliant but troubled detective.
-
B.
Luther
Luther is a masculine given name of Germanic origin, most famously borne by civil rights leader Martin Luther King Jr. and R&B singer Luther Vandross.
-
C.
Martin Luther
Martin Luther was a 16th-century German theologian and key figure of the Protestant Reformation whose teachings challenged Catholic doctrine and reshaped Western Christianity.
-
D.
Martin Franz Luther
Martin Franz Luther was a German Nazi diplomat and SS official who served in the Foreign Office and participated in the administration of the Holocaust.
-
E.
Huldrych Zwingli
Huldrych Zwingli was a leading Swiss Protestant Reformer whose theological ideas helped lay the groundwork for later Reformed traditions, including Calvinism.
- F. None of above. chosen
Provenance (5 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb12e03c8190b270c814ce47b626 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce859ffc8190b88f82af50238215 |
completed | March 10, 2026, 7:55 a.m. |
| NEDg | Description generation | batch_69afd0d11290819086331ed160799819 |
completed | March 10, 2026, 8:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afd12d634c8190940d73465aa8158c |
completed | March 10, 2026, 8:07 a.m. |
Created at: March 6, 2026, 9:56 p.m.