Triple
T9604261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia da Silva Bruhns |
E231929
|
entity |
| Predicate | motherOf |
P120
|
FINISHED |
| Object | Julia Mann |
E281026
|
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 Mann | Statement: [Julia da Silva Bruhns, motherOf, Julia Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Mann Context triple: [Julia da Silva Bruhns, motherOf, Julia Mann]
-
A.
Julia Mann
chosen
Julia Mann was the mother of German novelist Thomas Mann and a key figure in the prominent Mann literary family.
-
B.
Julia Wheatley
Julia Wheatley is a local political leader who serves as the mayor of Queen Creek, Arizona.
-
C.
Juliana Raymond
Juliana Raymond is a daughter of 19th-century American journalist and politician Henry Jarvis Raymond, co-founder of The New York Times.
-
D.
Julia Phillips
Julia Phillips was a pioneering American film producer and writer, best known for helping bring landmark 1970s films like "Taxi Driver" and "Close Encounters of the Third Kind" to the screen and for being the first female producer to win a Best Picture Oscar.
-
E.
Erica Mann
Erica Mann is the wife of late American actor, director, and writer Harold Ramis, known for his work on films like "Ghostbusters" and "Groundhog Day."
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5cddf481909aa6b589bcb3e71a |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1821dd3a88190bbba0a2f24c437e2 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 8:08 p.m.