Triple
T14766260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Fall from Grace |
E347002
|
entity |
| Predicate | protagonistPortrayedBy |
P9616
|
FINISHED |
| Object | Crystal Fox |
E1119095
|
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: Crystal Fox | Statement: [A Fall from Grace, protagonistPortrayedBy, Crystal Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crystal Fox Context triple: [A Fall from Grace, protagonistPortrayedBy, Crystal Fox]
-
A.
Crystal Fox
Crystal Fox is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing local wildlife and regional culture.
-
B.
Crystal Fox
chosen
Crystal Fox is an American actress best known for her work in television and film, including prominent roles in Tyler Perry–produced dramas.
-
C.
Sly Fox
Sly Fox is a comedic stage play by Larry Gelbart, adapted from Ben Jonson’s "Volpone," that satirizes greed and deception.
-
D.
Fawn
Fawn is a family name most notably associated with the fictional aristocratic character Lord Fawn in Anthony Trollope’s Palliser novels.
-
E.
Fawn
Fawn is an animal-loving fairy from Disney's Tinker Bell franchise, known for her warm heart, playful spirit, and special talent for communicating with creatures.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b1ff0c81908d5dffbaf86c3ca3 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.