Triple
T17284806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monika Hohlmeier |
E419625
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Monika |
E942997
|
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: Monika | Statement: [Monika Hohlmeier, givenName, Monika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monika Context triple: [Monika Hohlmeier, givenName, Monika]
-
A.
Monika
chosen
Monika is a feminine given name commonly used in various European countries and beyond.
-
B.
Monique
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
-
C.
Monika Mann
Monika Mann was a German writer and essayist, best known as one of the literary Nobel laureate Thomas Mann’s daughters and a member of the prominent Mann family of intellectuals.
-
D.
Monika Casey
Monika Casey is an American actress and producer known for her work in film and television and for her former marriage to actor George Eads.
-
E.
Karina
Karina is a retired Canadian soccer goalkeeper and Olympic bronze medalist who played for the Canadian women’s national team.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332cabdc8190bbc711ab806d53bf |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017955448481909c2464a14c2a9799 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.