Triple
T8731859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franca Pilla |
E207272
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pilla
Pilla is an Italian surname most notably associated with Franca Pilla, the wife of former Italian President Carlo Azeglio Ciampi.
|
E753540
|
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: Pilla | Statement: [Franca Pilla, familyName, Pilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilla Context triple: [Franca Pilla, familyName, Pilla]
-
A.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
B.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
C.
Pilón
Pilón is a coastal town and municipality in southeastern Cuba known for its fishing activities and proximity to the Sierra Maestra mountains.
-
D.
Papariga
Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
-
E.
Pileni
Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
- 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: Pilla Triple: [Franca Pilla, familyName, Pilla]
Generated description
Pilla is an Italian surname most notably associated with Franca Pilla, the wife of former Italian President Carlo Azeglio Ciampi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pilla Target entity description: Pilla is an Italian surname most notably associated with Franca Pilla, the wife of former Italian President Carlo Azeglio Ciampi.
-
A.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
B.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
C.
Pilón
Pilón is a coastal town and municipality in southeastern Cuba known for its fishing activities and proximity to the Sierra Maestra mountains.
-
D.
Papariga
Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
-
E.
Pileni
Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d27efb88190b42d5bc9774d9c63 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf292d71ec819082095cb7b8b2d39c |
completed | April 3, 2026, 2:42 a.m. |
| NEDg | Description generation | batch_69cf2bd42e6081908e016303eeb2241f |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2ce47b748190b883063dc3e5d16b |
completed | April 3, 2026, 2:58 a.m. |
Created at: March 30, 2026, 6:37 p.m.