Triple
T19518299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenio Colorni |
E488334
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ursula Hirschmann |
—
|
NE NERFINISHED |
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: Ursula Hirschmann | Statement: [Eugenio Colorni, spouse, Ursula Hirschmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ursula Hirschmann Context triple: [Eugenio Colorni, spouse, Ursula Hirschmann]
-
A.
Ursula Hirschmann
chosen
Ursula Hirschmann was a German-born anti-fascist activist and pioneering European federalist who played a key role in the early movement for European integration.
-
B.
Maria Hirschmann
Maria Hirschmann is a notable individual recognized for bearing the surname Hirschmann.
-
C.
Annette Haffner
Annette Haffner was the wife of renowned Polish pianist and influential piano teacher Theodor Leschetizky.
-
D.
Luise Straus-Ernst
Luise Straus-Ernst was a German art historian, critic, and writer associated with the Dada and Surrealist movements, who later became a victim of the Holocaust.
-
E.
Maria Muhlmann
Maria Muhlmann is an individual honored by the Maria and Eric Muhlmann Award, indicating her notable contributions or significance in the field recognized by that prize.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359da24c81909a0fd165a0fc0e33 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.