Triple
T4939428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lina Heydrich |
E110890
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Martina Heydrich |
E481058
|
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: Martina Heydrich | Statement: [Lina Heydrich, child, Martina Heydrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martina Heydrich Context triple: [Lina Heydrich, child, Martina Heydrich]
-
A.
Lina Heydrich
Lina Heydrich was the wife of high-ranking Nazi official Reinhard Heydrich, later known for defending his legacy and publishing memoirs about their life together.
-
B.
Silke Heydrich
chosen
Silke Heydrich is the daughter of Lina Heydrich and high-ranking Nazi official Reinhard Heydrich.
-
C.
Hedwiga Reicher
Hedwiga Reicher was a German-American actress known for her work on stage and in early 20th-century films.
-
D.
ReinhardHeydrich
Reinhard Heydrich was a high-ranking Nazi SS and police official, one of the main architects of the Holocaust and a key organizer of the regime’s genocidal policies.
-
E.
Rose Stradner
Rose Stradner was an Austrian-American actress known for her work in Hollywood films of the 1930s and 1940s.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7088f6e48190bf09e58ab053a4d1 |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89eb6cac8190b82bef41062fc8f1 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:31 p.m.