Triple
T3540629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May |
E74874
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
|
E366844
|
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: Toni May | Statement: [May, hasNotableBearer, Toni May]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni May Context triple: [May, hasNotableBearer, Toni May]
-
A.
Toni Marilyn Smith
Toni Marilyn Smith is the mother of American actor Paul Giamatti.
-
B.
Toni Lawrence
Toni Lawrence is an American actress known for her film and television work in the 1970s and 1980s.
-
C.
Dorothy May
Dorothy May was the first wife of Mayflower passenger and Plymouth Colony governor William Bradford, remembered for her tragic death by drowning shortly after arriving in America in 1620.
-
D.
Donna Tubbs
Donna Tubbs is a central character in the animated sitcom universe of Family Guy and The Cleveland Show, known as Cleveland Brown's strong-willed, caring, and often no-nonsense wife.
-
E.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
- 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: Toni May Triple: [May, hasNotableBearer, Toni May]
Generated description
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni May Target entity description: Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
A.
Toni Marilyn Smith
Toni Marilyn Smith is the mother of American actor Paul Giamatti.
-
B.
Toni Lawrence
Toni Lawrence is an American actress known for her film and television work in the 1970s and 1980s.
-
C.
Dorothy May
Dorothy May was the first wife of Mayflower passenger and Plymouth Colony governor William Bradford, remembered for her tragic death by drowning shortly after arriving in America in 1620.
-
D.
Donna Tubbs
Donna Tubbs is a central character in the animated sitcom universe of Family Guy and The Cleveland Show, known as Cleveland Brown's strong-willed, caring, and often no-nonsense wife.
-
E.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf729000819086e4fdba9e73e198 |
completed | March 8, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bd7fa3881909fee11cc6f4af7ea |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c9259f881908068961f4eaf11a0 |
completed | March 13, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38d04eb388190af64f990bac8d140 |
completed | March 13, 2026, 4:05 a.m. |
Created at: March 8, 2026, 3:20 p.m.