Triple
T15389144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uptown Girls |
E367993
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Julia Pistor |
E828077
|
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: Julia Pistor | Statement: [Uptown Girls, producer, Julia Pistor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Pistor Context triple: [Uptown Girls, producer, Julia Pistor]
-
A.
Julia Pistor
chosen
Julia Pistor is an American film producer known for her work on family and comedy films, including the cult favorite "Nacho Libre."
-
B.
Julia von Hauke
Julia von Hauke was a Polish-German noblewoman who became Princess of Battenberg through her morganatic marriage to Prince Alexander of Hesse and by Rhine, founding the Battenberg (later Mountbatten) line of European royalty.
-
C.
Juliane Blasi
Juliane Blasi is an automotive designer best known for her work on BMW’s second-generation Z4 (E89) roadster.
-
D.
Julia Sauer
Julia Sauer was an American librarian and author best known for her atmospheric children's fantasy and historical novels, including the Newbery Honor book "Fog Magic."
-
E.
Julia Jentsch
Julia Jentsch is a German actress acclaimed for her powerful performances in films such as "Sophie Scholl – The Final Days" and numerous other European cinema and television productions.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.