Triple
T16580146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doctor Dances |
E402807
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
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.
|
E1222002
|
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: Nancy | Statement: [The Doctor Dances, featuresCharacter, Nancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Context triple: [The Doctor Dances, featuresCharacter, Nancy]
-
A.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
B.
Nancy
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
C.
Nance
Nance is a recurring character on the sketch comedy series "Portlandia," known as one half of the feminist bookstore duo alongside Candace.
-
D.
Nance
Nance is a member of the elite military unit J-Squad in the science fiction film "Edge of Tomorrow."
-
E.
Nance
Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
- 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: Nancy Triple: [The Doctor Dances, featuresCharacter, Nancy]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Target entity description: 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.
-
A.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
B.
Nancy
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
C.
Nance
Nance is a recurring character on the sketch comedy series "Portlandia," known as one half of the feminist bookstore duo alongside Candace.
-
D.
Nance
Nance is a member of the elite military unit J-Squad in the science fiction film "Edge of Tomorrow."
-
E.
Nance
Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35960834c819080eed0c9f32b881d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee1c1d0819096367344e48bd8d0 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006fba728c8190a835ce72a15563e1 |
completed | May 10, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0070aee0248190b3463b98a739d1ae |
completed | May 10, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:16 a.m.