Triple
T5060041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Monti |
E113999
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Elsa Antonioli
Elsa Antonioli is the wife of Italian economist and former Prime Minister Mario Monti.
|
E492747
|
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: Elsa Antonioli | Statement: [Mario Monti, spouse, Elsa Antonioli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsa Antonioli Context triple: [Mario Monti, spouse, Elsa Antonioli]
-
A.
Lilia Vetti
Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
-
B.
Elisa Ambrogio
Elisa Ambrogio is an American musician and guitarist best known as a founding member and frontwoman of the noise rock band Magik Markers.
-
C.
Tharita Cesaroni
Tharita Cesaroni is an Italian film producer and cinematographer known for her work behind the camera and for being married to actor Dermot Mulroney.
-
D.
Laura Balbo
Laura Balbo is an Italian sociologist, feminist, and politician known for her work on social inequality, gender studies, and her role as Italy’s Minister for Equal Opportunities.
-
E.
Cecilia Frugiuele
Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
- 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: Elsa Antonioli Triple: [Mario Monti, spouse, Elsa Antonioli]
Generated description
Elsa Antonioli is the wife of Italian economist and former Prime Minister Mario Monti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elsa Antonioli Target entity description: Elsa Antonioli is the wife of Italian economist and former Prime Minister Mario Monti.
-
A.
Lilia Vetti
Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
-
B.
Elisa Ambrogio
Elisa Ambrogio is an American musician and guitarist best known as a founding member and frontwoman of the noise rock band Magik Markers.
-
C.
Tharita Cesaroni
Tharita Cesaroni is an Italian film producer and cinematographer known for her work behind the camera and for being married to actor Dermot Mulroney.
-
D.
Laura Balbo
Laura Balbo is an Italian sociologist, feminist, and politician known for her work on social inequality, gender studies, and her role as Italy’s Minister for Equal Opportunities.
-
E.
Cecilia Frugiuele
Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7453daac8190b2946702c6c4bd93 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb102bb348190b235e4adb7a3f88b |
completed | March 21, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69beb407ec7881909e3643c1fd162568 |
completed | March 21, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb4843b588190947b3c2ae7709e67 |
completed | March 21, 2026, 3:08 p.m. |
Created at: March 20, 2026, 1:38 p.m.