Triple
T486468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Frank House |
E9889
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Anne Frank |
E60579
|
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: Anne Frank | Statement: [Anne Frank House, associatedWith, Anne Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Frank Context triple: [Anne Frank House, associatedWith, Anne Frank]
-
A.
Anne Frank
chosen
Anne Frank was a Jewish diarist whose writings about hiding from the Nazis during World War II made her one of the most discussed victims of the Holocaust.
-
B.
Truida Pohl
Truida Pohl was the wife of prominent Afrikaans poet and intellectual N. P. van Wyk Louw.
-
C.
Marion Wiesel
Marion Wiesel is a translator, editor, and activist best known for translating many of Elie Wiesel’s works and for her involvement in Holocaust remembrance and human rights causes.
-
D.
Maryla Husyt Finkelstein
Maryla Husyt Finkelstein was a Holocaust survivor and the mother of American political scientist and author Norman Finkelstein.
-
E.
Elie
Elie is a picturesque coastal village in Fife, Scotland, known for its sandy beaches, historic harbor, and popular holiday atmosphere.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bc6f548190b13dee42cb100423 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a474701340819096a5073155af9625 |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.