Triple
T10536849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mabel Williams |
E248587
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Mabel |
E682656
|
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: Mabel | Statement: [Mabel Williams, hasGivenName, Mabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mabel Context triple: [Mabel Williams, hasGivenName, Mabel]
-
A.
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.
-
B.
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.
-
C.
Mabel
chosen
Mabel is a feminine given name of medieval origin that has been used in various English-speaking cultures.
-
D.
Mabel Grex
Mabel Grex is a central fictional character in Anthony Trollope’s novel "The Duke's Children," known for her beauty, charm, and complex romantic entanglements within high society.
-
E.
Mabel Trunnelle
Mabel Trunnelle was an American silent film actress active in the early 20th century, known for her work with the Edison Manufacturing Company.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a554fb4819081e9618bab051dc6 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e507b408190ae3538d02536ef4c |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:31 p.m.