Triple
T22594208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimi Bobeck |
E574631
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mimi |
—
|
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: Mimi | Statement: [Mimi Bobeck, givenName, Mimi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimi Context triple: [Mimi Bobeck, givenName, Mimi]
-
A.
Mimi
Mimi is a coastal locality in Taranaki, New Zealand, situated within the traditional tribal area of the Māori iwi Ngāti Tama.
-
B.
Mimi
chosen
Mimi is a common affectionate diminutive or nickname for the given name Marie.
-
C.
Mimi
Mimi is a 2021 Indian Hindi-language comedy-drama film about surrogacy, starring Kriti Sanon and Sai Tamhankar.
-
D.
Mimi Hare
Mimi Hare is a screenwriter best known for co-writing the romantic comedy film "The Accidental Husband."
-
E.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16164d690819096f7c4efb6cedad9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:49 p.m.