Triple
T23415382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born to Dance |
E560190
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Una Merkel |
—
|
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: Una Merkel | Statement: [Born to Dance, starring, Una Merkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Una Merkel Context triple: [Born to Dance, starring, Una Merkel]
-
A.
Una Merkel
chosen
Una Merkel was an American stage and film actress best known for her sharp comic timing and memorable supporting roles in Hollywood films of the 1930s and 1940s.
-
B.
Angela Merkel
Angela Merkel is a German politician who served as Chancellor of Germany from 2005 to 2021 and became one of the most influential leaders in Europe and the world.
-
C.
Max Merkel
Max Merkel was a prominent Austrian football manager known for leading several European clubs to success in the 1960s and 1970s.
-
D.
Bettina Wulff
Bettina Wulff is a German public relations consultant and former First Lady of Germany, known for her marriage to former President Christian Wulff and her subsequent media presence.
-
E.
Hannelore Kohl
Hannelore Kohl was a German translator and the longtime wife of former Chancellor Helmut Kohl, known for her public role during his tenure and her later struggles with a debilitating light allergy.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a514b1d08190bbde2c3714c996fd |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:39 p.m.