Triple
T2637956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zora |
E62792
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object |
Zora Dirnbach
Zora Dirnbach was a Croatian journalist, writer, and Holocaust survivor known for her work in radio, literature, and public discourse on Jewish identity and history.
|
E283711
|
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: Zora Dirnbach | Statement: [Zora, isGivenNameOf, Zora Dirnbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zora Dirnbach Context triple: [Zora, isGivenNameOf, Zora Dirnbach]
-
A.
Nal Kalchbrenner
Nal Kalchbrenner is a computer scientist and machine learning researcher known for co-developing WaveNet, a groundbreaking deep generative model for raw audio.
-
B.
Elke Büdenbender
Elke Büdenbender is a German judge who serves as the First Lady of Germany as the wife of President Frank-Walter Steinmeier.
-
C.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
-
D.
Josef Jennewein
Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
-
E.
Felix Krull
Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
- 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: Zora Dirnbach Triple: [Zora, isGivenNameOf, Zora Dirnbach]
Generated description
Zora Dirnbach was a Croatian journalist, writer, and Holocaust survivor known for her work in radio, literature, and public discourse on Jewish identity and history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zora Dirnbach Target entity description: Zora Dirnbach was a Croatian journalist, writer, and Holocaust survivor known for her work in radio, literature, and public discourse on Jewish identity and history.
-
A.
Nal Kalchbrenner
Nal Kalchbrenner is a computer scientist and machine learning researcher known for co-developing WaveNet, a groundbreaking deep generative model for raw audio.
-
B.
Elke Büdenbender
Elke Büdenbender is a German judge who serves as the First Lady of Germany as the wife of President Frank-Walter Steinmeier.
-
C.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
-
D.
Josef Jennewein
Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
-
E.
Felix Krull
Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8e470ac8190bd0d6de6805afcd0 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b3e9b48190857ae21022a4fb15 |
completed | March 10, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69af922043508190a9a9ceced2425109 |
completed | March 10, 2026, 3:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:53 p.m.