Triple
T12637506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maddy |
E301803
|
entity |
| Predicate | spellingVariantOf |
P457
|
FINISHED |
| Object | Maddie |
E772671
|
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: Maddie | Statement: [Maddy, spellingVariantOf, Maddie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maddie Context triple: [Maddy, spellingVariantOf, Maddie]
-
A.
Maddie
Maddie is the official mascot of the WNBA's New York Liberty basketball team.
-
B.
Maddie
chosen
Maddie is a common diminutive form of the given name Madeleine, often used as a casual or affectionate nickname.
-
C.
Maddy
Maddy is a common diminutive or nickname typically used for the given name Madison.
-
D.
Maddy Hinson
Maddy Hinson is a television producer best known for serving as an executive producer on the anthology drama series "Genius."
-
E.
Maddie Barker
Maddie Barker is the bold, financially struggling 32-year-old Uber driver and bartender who becomes entangled in a scheme to date a shy teenager in the 2023 comedy film "No Hard Feelings."
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96147f49c8190b701e1e27e207a95 |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719886708190823f6f7e94e4d199 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:16 p.m.