Triple
T7218220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimi |
E150188
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Mimie |
E468745
|
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: Mimie | Statement: [Mimi, hasSpellingVariant, Mimie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimie Context triple: [Mimi, hasSpellingVariant, Mimie]
-
A.
Mabel
Mabel is the principal soprano heroine in Gilbert and Sullivan's comic opera "The Pirates of Penzance," known for her virtuosic coloratura singing and romantic storyline with Frederic.
-
B.
Mabel
Mabel is a friendly blue hedgehog in the Animal Crossing series who runs the Able Sisters clothing shop and helps players customize their outfits.
-
C.
Mimì
chosen
Mimì is the tragic seamstress heroine of Giacomo Puccini's opera "La Bohème," renowned as one of the most beloved soprano roles in the operatic repertoire.
-
D.
Mimi
Mimi is a common affectionate diminutive or nickname for the given name Marie.
-
E.
Marylou
Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99170d88190b1aef326a7d81134 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc014fb88190818e12b7abe90c0a |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:53 p.m.