Triple
T22259434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godmothered |
E550177
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Grant
Grant is a character in the Disney fantasy-comedy film "Godmothered," serving as one of the key figures in the story’s modern twist on fairy godmothers.
|
E1527369
|
NE FINISHED |
How this triple was built (4 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: Grant | Statement: [Godmothered, character, Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant Context triple: [Godmothered, character, Grant]
-
A.
John
John is the given name of John Gill Shorter, who served as the 17th Governor of Alabama during the American Civil War.
-
B.
John
John is the given name of John Deacon, the English musician best known as the bassist for the rock band Queen.
-
C.
John
John is the given name of John Maynard Harlan, an American lawyer and politician from Chicago active in the late 19th and early 20th centuries.
-
D.
John
John is the given name of the American Impressionist painter John Henry Twachtman, known for his atmospheric landscapes and innovative use of color and brushwork.
-
E.
John
John is the given first name of Buck Freeman, an American professional baseball player from the late 19th and early 20th centuries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grant Triple: [Godmothered, character, Grant]
Generated description
Grant is a character in the Disney fantasy-comedy film "Godmothered," serving as one of the key figures in the story’s modern twist on fairy godmothers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grant Target entity description: Grant is a character in the Disney fantasy-comedy film "Godmothered," serving as one of the key figures in the story’s modern twist on fairy godmothers.
-
A.
Grant
Grant is a character from the television series "Switched at Birth," known primarily as Grace Bowman's romantic partner.
-
B.
Grant
Grant is a fictional character portrayed by Canadian actor Justin Chatwin in film or television.
-
C.
Grant
Grant is a common English-language surname of Scottish origin, borne by numerous notable figures in fields such as politics, entertainment, and sports.
-
D.
Grant
Grant is a publishing company best known for releasing special and limited editions of Stephen King’s works, including volumes in The Dark Tower series.
-
E.
Grant
Grant is a masculine given name of English origin that is commonly used in the United States and other English-speaking countries.
- F. None of above. chosen
Provenance (5 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c5b54c8190854690ba599639fa |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab6681d5881909345d8e83791ba7d |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab6fd3a6881908ea1e8f85eb9d969 |
completed | May 18, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab791bd6c819098b3de570bd08815 |
completed | May 18, 2026, 6:54 a.m. |
Created at: April 16, 2026, 8:39 p.m.