Triple
T3066399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea with Mussolini |
E62112
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object |
Anna Anni
Anna Anni was an Italian costume designer known for her work on films such as "Tea with Mussolini."
|
E322789
|
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: Anna Anni | Statement: [Tea with Mussolini, costumeDesigner, Anna Anni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Anni Context triple: [Tea with Mussolini, costumeDesigner, Anna Anni]
-
A.
Raisa
Raisa Gorbacheva was the influential and highly visible wife of Soviet leader Mikhail Gorbachev, known for her intellectual background, public role, and charitable work.
-
B.
Lokasundari Ammal
Lokasundari Ammal was the wife of Nobel Prize–winning Indian physicist C. V. Raman and a supportive figure in his personal and professional life.
-
C.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
-
D.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
E.
Alamelu Mangamma
Alamelu Mangamma was the wife of C. Rajagopalachari, a prominent Indian independence activist and the last Governor-General of India.
- 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: Anna Anni Triple: [Tea with Mussolini, costumeDesigner, Anna Anni]
Generated description
Anna Anni was an Italian costume designer known for her work on films such as "Tea with Mussolini."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Anni Target entity description: Anna Anni was an Italian costume designer known for her work on films such as "Tea with Mussolini."
-
A.
Raisa
Raisa Gorbacheva was the influential and highly visible wife of Soviet leader Mikhail Gorbachev, known for her intellectual background, public role, and charitable work.
-
B.
Lokasundari Ammal
Lokasundari Ammal was the wife of Nobel Prize–winning Indian physicist C. V. Raman and a supportive figure in his personal and professional life.
-
C.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
-
D.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
E.
Alamelu Mangamma
Alamelu Mangamma was the wife of C. Rajagopalachari, a prominent Indian independence activist and the last Governor-General of India.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fd87308190918e7b616f033faa |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef16cf2881908265dfe8a1e3424d |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1f028cd0881909b35bf1870aae534 |
completed | March 11, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f0a0f15481909f71c702ecc93924 |
completed | March 11, 2026, 10:45 p.m. |
Created at: March 8, 2026, 3:02 p.m.