Triple
T7138638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Clare's School |
E166379
|
entity |
| Predicate | hasStudent |
P48
|
FINISHED |
| Object |
Janet Robins
Janet Robins is an individual known for having attended St. Clare's School.
|
E769343
|
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: Janet Robins | Statement: [St. Clare's School, hasStudent, Janet Robins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Robins Context triple: [St. Clare's School, hasStudent, Janet Robins]
-
A.
Janet Shearon
Janet Shearon was the first wife of astronaut Neil Armstrong, with whom she shared much of his early aviation and NASA career before their divorce.
-
B.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
C.
Janet Julian
Janet Julian is an American actress known for her roles in film and television, including a notable appearance in the crime drama "King of New York."
-
D.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
E.
Janet Ellis
Janet Ellis is a British television presenter and actress best known for her work on children's programmes such as Blue Peter and The Really Wild Show.
- 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: Janet Robins Triple: [St. Clare's School, hasStudent, Janet Robins]
Generated description
Janet Robins is an individual known for having attended St. Clare's School.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janet Robins Target entity description: Janet Robins is an individual known for having attended St. Clare's School.
-
A.
Janet Shearon
Janet Shearon was the first wife of astronaut Neil Armstrong, with whom she shared much of his early aviation and NASA career before their divorce.
-
B.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
C.
Janet Julian
Janet Julian is an American actress known for her roles in film and television, including a notable appearance in the crime drama "King of New York."
-
D.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
E.
Janet Ellis
Janet Ellis is a British television presenter and actress best known for her work on children's programmes such as Blue Peter and The Really Wild Show.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e694cc3c81908b0d54c2496a0722 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9129bec8190b3c1471ac8a131ac |
completed | April 3, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69cfc9b8cd108190a9b3482858b0363a |
completed | April 3, 2026, 2:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfca54d4dc8190a2f94a6f3d2acaf9 |
completed | April 3, 2026, 2:10 p.m. |
Created at: March 27, 2026, 2:45 p.m.