Triple
T14125622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mavis Batey |
E340023
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mavis
Mavis is a feminine given name of Old French origin, traditionally associated with the song thrush and used primarily in English-speaking countries.
|
E1082580
|
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: Mavis | Statement: [Mavis Batey, givenName, Mavis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mavis Context triple: [Mavis Batey, givenName, Mavis]
-
A.
Mavis
Mavis is a character in Enid Blyton’s "Malory Towers" series, known as a talented but vain singer whose ambition often leads her into trouble.
-
B.
Mavis
Mavis is a central character in the animated Hotel Transylvania film series, known as Dracula’s spirited and independent vampire daughter.
-
C.
Mavis
Mavis is a fictional character who appears in the crime novel "The Drowning Pool."
-
D.
Mavis
Mavis is the Allied reporting name for the Kawanishi H6K, a Japanese World War II-era flying boat used primarily for maritime patrol and reconnaissance.
-
E.
Mavis Grind
Mavis Grind is a narrow isthmus in Northmavine, Shetland, known for nearly connecting the Atlantic Ocean and the North Sea at one of their closest points.
- 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: Mavis Triple: [Mavis Batey, givenName, Mavis]
Generated description
Mavis is a feminine given name of Old French origin, traditionally associated with the song thrush and used primarily in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mavis Target entity description: Mavis is a feminine given name of Old French origin, traditionally associated with the song thrush and used primarily in English-speaking countries.
-
A.
Mavis
Mavis is a character in Enid Blyton’s "Malory Towers" series, known as a talented but vain singer whose ambition often leads her into trouble.
-
B.
Mavis
Mavis is a central character in the animated Hotel Transylvania film series, known as Dracula’s spirited and independent vampire daughter.
-
C.
Mavis
Mavis is a fictional character who appears in the crime novel "The Drowning Pool."
-
D.
Mavis
Mavis is the Allied reporting name for the Kawanishi H6K, a Japanese World War II-era flying boat used primarily for maritime patrol and reconnaissance.
-
E.
Mavis Grind
Mavis Grind is a narrow isthmus in Northmavine, Shetland, known for nearly connecting the Atlantic Ocean and the North Sea at one of their closest points.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0a7a7c8190860d8ce47b5f0732 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0dec2488190be9c24d3744e7243 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce206b0588190a0f4b24231d3c365 |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 10:22 p.m.