Triple
T2766326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison |
E61346
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Maddie |
E130214
|
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: [Madison, hasShortForm, Maddie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maddie Context triple: [Madison, hasShortForm, Maddie]
-
A.
Maddie
chosen
Maddie is the official mascot of the WNBA's New York Liberty basketball team.
-
B.
Mia
Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
-
C.
Madyson
Madyson is a modern English given name, typically a feminine variant of the name Madison.
-
D.
Molly
Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
-
E.
Maddy Bowen
Maddy Bowen is a determined American journalist in the film "Blood Diamond" who investigates the illicit diamond trade in war-torn Sierra Leone.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd5762d08190a6286994a4e5dd92 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6496dc88190b316d5b36bc5df67 |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:57 p.m.