Triple
T18200509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracy |
E435768
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object | Gracie |
—
|
NE NERFINISHED |
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: Gracie | Statement: [Gracy, variantOf, Gracie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gracie Context triple: [Gracy, variantOf, Gracie]
-
A.
Gracie
chosen
Gracie is a given name, often used as a diminutive of Grace.
-
B.
Gracie Otto
Gracie Otto is an Australian filmmaker and actress known for her work in independent cinema and documentary directing.
-
C.
Gracie Kramer
Gracie Kramer is a former UCLA Bruins gymnast known for her powerful floor routines and leadership as a standout collegiate athlete.
-
D.
Gracie Watson
Gracie Watson is a famous child whose elaborate grave monument and haunting legend make her one of the most iconic figures associated with Savannah, Georgia’s Bonaventure Cemetery.
-
E.
Gracie's Choice
Gracie's Choice is a 2004 Lifetime television drama film, inspired by a true story, in which Anne Heche plays an abusive, drug-addicted mother whose daughter fights to keep her siblings together.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d610f88190b4f69b1c433ea6b1 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.