Triple
T2236277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katia Mann |
E49287
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Michael Mann |
E221791
|
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: Michael Mann | Statement: [Katia Mann, child, Michael Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Mann Context triple: [Katia Mann, child, Michael Mann]
-
A.
Michael Mann
Michael Mann is an American filmmaker renowned for his stylish, atmospheric crime dramas and thrillers such as "Heat," "Collateral," and "Manhunter."
-
B.
Michael Mann
chosen
Michael Mann was a German sociologist and political scientist, son of writer Thomas Mann, known for his work on the sociology of power and social structures.
-
C.
Michael Cimino
Michael Cimino was an American film director and screenwriter best known for his ambitious, visually striking dramas and his Oscar-winning work on the Vietnam War epic "The Deer Hunter."
-
D.
Robert Stevens
Robert Stevens was an American television and film director best known for his work on classic anthology series such as Alfred Hitchcock Presents.
-
E.
Richard LaGravenese
Richard LaGravenese is an American screenwriter and director known for his character-driven dramas and adaptations, including films like "The Fisher King," "The Bridges of Madison County," and "P.S. I Love You."
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc093ba0c819091df09a0e018fce1 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b08c5248190924a28f4c1bd0e2c |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.