Triple
T6834396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathleen Synge Morawetz |
E157412
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Irene Gamba
Irene Gamba is an Argentine-American mathematician known for her contributions to kinetic theory, partial differential equations, and applied mathematics.
|
E624673
|
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: Irene Gamba | Statement: [Cathleen Synge Morawetz, notableStudent, Irene Gamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irene Gamba Context triple: [Cathleen Synge Morawetz, notableStudent, Irene Gamba]
-
A.
Daniela Farinacci
Daniela Farinacci is an Australian actress known for her work in film, television, and theatre, including a notable role in the acclaimed drama "Lantana."
-
B.
Irene Morra
Irene Morra is a scholar and editor known for her work on literature and culture, including editing the volume "Road to Morocco."
-
C.
Doria Palmieri
Doria Palmieri is best known as the wife of Ron Reagan, the son of former U.S. President Ronald Reagan.
-
D.
Marcella De Marchis
Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
-
E.
Jolanda Benvenuti
Jolanda Benvenuti was an Italian film editor best known for her collaborations with director Roberto Rossellini during the mid-20th century.
- 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: Irene Gamba Triple: [Cathleen Synge Morawetz, notableStudent, Irene Gamba]
Generated description
Irene Gamba is an Argentine-American mathematician known for her contributions to kinetic theory, partial differential equations, and applied mathematics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irene Gamba Target entity description: Irene Gamba is an Argentine-American mathematician known for her contributions to kinetic theory, partial differential equations, and applied mathematics.
-
A.
Daniela Farinacci
Daniela Farinacci is an Australian actress known for her work in film, television, and theatre, including a notable role in the acclaimed drama "Lantana."
-
B.
Irene Morra
Irene Morra is a scholar and editor known for her work on literature and culture, including editing the volume "Road to Morocco."
-
C.
Doria Palmieri
Doria Palmieri is best known as the wife of Ron Reagan, the son of former U.S. President Ronald Reagan.
-
D.
Marcella De Marchis
Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
-
E.
Jolanda Benvenuti
Jolanda Benvenuti was an Italian film editor best known for her collaborations with director Roberto Rossellini during the mid-20th century.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67936288190829fedc3729aadd8 |
completed | March 27, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7426b3d2081909d0804a2fbc6efad |
completed | March 28, 2026, 2:52 a.m. |
| NEDg | Description generation | batch_69c7431d2d5881909daf29caeef37d0d |
completed | March 28, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c743949cbc8190a797666c7d509a1c |
completed | March 28, 2026, 2:57 a.m. |
Created at: March 27, 2026, 2:18 p.m.