Triple
T21600013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Tremaine |
E533010
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Queen Nancy
Queen Nancy is the royal title assumed by Nancy Tremaine, a character from Disney’s Enchanted series who becomes queen in the fairy-tale kingdom of Andalasia.
|
E1493076
|
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: Queen Nancy | Statement: [Nancy Tremaine, title, Queen Nancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Nancy Context triple: [Nancy Tremaine, title, Queen Nancy]
-
A.
Nanci
Nanci is a feminine given name most notably associated with the late American folk and country singer-songwriter Nanci Griffith.
-
B.
Nancy Boy
"Nancy Boy" is a breakthrough 1997 alternative rock single by British band Placebo, known for its provocative lyrics and androgynous, glam-influenced sound.
-
C.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
D.
Nancy
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
E.
Nancy
Nancy is a key child character in the Doctor Who episode "The Doctor Dances," known for leading a group of homeless children during the London Blitz.
- 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: Queen Nancy Triple: [Nancy Tremaine, title, Queen Nancy]
Generated description
Queen Nancy is the royal title assumed by Nancy Tremaine, a character from Disney’s Enchanted series who becomes queen in the fairy-tale kingdom of Andalasia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen Nancy Target entity description: Queen Nancy is the royal title assumed by Nancy Tremaine, a character from Disney’s Enchanted series who becomes queen in the fairy-tale kingdom of Andalasia.
-
A.
Nanci
Nanci is a feminine given name most notably associated with the late American folk and country singer-songwriter Nanci Griffith.
-
B.
Nancy Boy
"Nancy Boy" is a breakthrough 1997 alternative rock single by British band Placebo, known for its provocative lyrics and androgynous, glam-influenced sound.
-
C.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
D.
Nancy
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
E.
Nancy
Nancy is a key child character in the Doctor Who episode "The Doctor Dances," known for leading a group of homeless children during the London Blitz.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae4746c819090afe1d93fe9f175 |
completed | April 27, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd3352d481908611875a91c66825 |
completed | May 17, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a09fe7380c881909d17d5ba64f0b19f |
completed | May 17, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09fef4abe48190b6eac6d14aadd110 |
completed | May 17, 2026, 5:46 p.m. |
Created at: April 16, 2026, 6:32 p.m.