Triple
T7247313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Nannie, O |
E156506
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Nannie |
E137909
|
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: Nannie | Statement: [My Nannie, O, hasCharacter, Nannie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nannie Context triple: [My Nannie, O, hasCharacter, Nannie]
-
A.
Nannie
chosen
Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
-
B.
Maidie
Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
-
C.
Grandma
"Grandma" is a 2015 American comedy-drama film starring Lily Tomlin as an irascible poet helping her granddaughter, featuring Laverne Cox in a supporting role.
-
D.
Grandma
Grandma is a character in the voxel-based metaverse game The Sandbox, likely designed as a stylized elderly figure that players can interact with or use in their creations.
-
E.
Grandma
Grandma is a key supporting character in the 2020 dark fantasy film "The Witches," serving as the wise and protective guardian who helps her grandson confront a secret society of child-hating witches.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea749fb08190841c0aa8c5bd0727 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3987a888190ab19915b39dbf7eb |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:56 p.m.