Triple
T3580310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary |
E75782
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Mamie
Mamie is a traditional English feminine given name commonly used as a pet form of names like Mary.
|
E370389
|
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: Mamie | Statement: [Mary, hasDiminutive, Mamie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamie Context triple: [Mary, hasDiminutive, Mamie]
-
A.
Bessie Wallis Warfield
Bessie Wallis Warfield, better known as Wallis Simpson, was the American socialite whose relationship with King Edward VIII led to his abdication of the British throne in 1936.
-
B.
Belle Roosevelt
Belle Roosevelt was a member of the Roosevelt family and the daughter of Kermit Roosevelt, linking her to the prominent American political and presidential Roosevelt lineage.
-
C.
Bess Truman
Bess Truman was the First Lady of the United States from 1945 to 1953, known for her private nature and support of President Harry S. Truman during his administration.
-
D.
Irma Frost
Irma Frost was one of the daughters of renowned American poet Robert Frost.
-
E.
Anne Harrison
Anne Harrison is a film producer best known for her work on the critically acclaimed drama "The Danish Girl."
- 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: Mamie Triple: [Mary, hasDiminutive, Mamie]
Generated description
Mamie is a traditional English feminine given name commonly used as a pet form of names like Mary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamie Target entity description: Mamie is a traditional English feminine given name commonly used as a pet form of names like Mary.
-
A.
Bessie Wallis Warfield
Bessie Wallis Warfield, better known as Wallis Simpson, was the American socialite whose relationship with King Edward VIII led to his abdication of the British throne in 1936.
-
B.
Belle Roosevelt
Belle Roosevelt was a member of the Roosevelt family and the daughter of Kermit Roosevelt, linking her to the prominent American political and presidential Roosevelt lineage.
-
C.
Bess Truman
Bess Truman was the First Lady of the United States from 1945 to 1953, known for her private nature and support of President Harry S. Truman during his administration.
-
D.
Irma Frost
Irma Frost was one of the daughters of renowned American poet Robert Frost.
-
E.
Anne Harrison
Anne Harrison is a film producer best known for her work on the critically acclaimed drama "The Danish Girl."
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0ffecdc8190bf01c8ba90e3733e |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbc95fa881909846a6d53ba6a24e |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bcae84a48190b085f253773cd14f |
completed | March 13, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f90df47c81908855021f68ca7ec8 |
completed | March 13, 2026, 11:46 a.m. |
Created at: March 8, 2026, 3:21 p.m.