Triple
T20444784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maybelle Carter |
E501489
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Maybelle
Maybelle is the given name of Maybelle Carter, the influential American country musician and pioneering member of the Carter Family.
|
E1430849
|
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: Maybelle | Statement: [Maybelle Carter, givenName, Maybelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maybelle Context triple: [Maybelle Carter, givenName, Maybelle]
-
A.
Mary Lou
Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
-
B.
Mary Lou
Mary Lou is the first American woman gymnast to win the Olympic all-around gold medal, achieved at the 1984 Los Angeles Games.
-
C.
Mary Lou
Mary Lou is a feminine given name, typically a compound form of Mary and Lou, used in English-speaking countries.
-
D.
Mabel McVey
Mabel McVey is a British-Swedish pop and R&B singer and songwriter known for hits like "Don't Call Me Up" and "Mad Love."
-
E.
Celia Mae
Celia Mae is the one-eyed, snake-haired receptionist at Monsters, Inc. and Mike Wazowski’s girlfriend in the Pixar animated film.
- 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: Maybelle Triple: [Maybelle Carter, givenName, Maybelle]
Generated description
Maybelle is the given name of Maybelle Carter, the influential American country musician and pioneering member of the Carter Family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maybelle Target entity description: Maybelle is the given name of Maybelle Carter, the influential American country musician and pioneering member of the Carter Family.
-
A.
Mary Lou
Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
-
B.
Mary Lou
Mary Lou is the first American woman gymnast to win the Olympic all-around gold medal, achieved at the 1984 Los Angeles Games.
-
C.
Mary Lou
Mary Lou is a feminine given name, typically a compound form of Mary and Lou, used in English-speaking countries.
-
D.
Mabel McVey
Mabel McVey is a British-Swedish pop and R&B singer and songwriter known for hits like "Don't Call Me Up" and "Mad Love."
-
E.
Celia Mae
Celia Mae is the one-eyed, snake-haired receptionist at Monsters, Inc. and Mike Wazowski’s girlfriend in the Pixar animated film.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfca4788190ad57ecb504f54d11 |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0884037b3c819097c84fdd528b9153 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0884c182548190bdb6f43f99d2a005 |
completed | May 16, 2026, 2:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088565cbcc81909b4bbc286d272ef6 |
completed | May 16, 2026, 2:55 p.m. |
Created at: April 16, 2026, 11:32 a.m.