Triple
T13609211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Midge Maisel |
E325142
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Midge |
E659811
|
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: Midge | Statement: [Miriam Midge Maisel, nickname, Midge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midge Context triple: [Miriam Midge Maisel, nickname, Midge]
-
A.
Midge
chosen
Midge is a common diminutive nickname for the given name Mildred.
-
B.
Motten
Motten is a small municipality in northern Bavaria, Germany, situated in the Rhön Mountains and known for its rural character and scenic surroundings.
-
C.
Redfly
Redfly is the nickname and alias of Tom "Redfly" Davis, a central character known as a former Special Forces operative in the film "Triple Frontier."
-
D.
Muscardin
Muscardin is a rare, light-colored red grape variety from France’s Rhône Valley, known for contributing floral aromas, high acidity, and finesse to Southern Rhône blends.
-
E.
Muscardins
The Muscardins were royalist militants in post-revolutionary France known for violently persecuting former Jacobins during the White Terror.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f98286c8190a866b5edc21f1225 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.