Triple
T4151497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Loren |
E89915
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Edoardo Ponti
Edoardo Ponti is an Italian film director, screenwriter, and producer known for his work in both European and American cinema.
|
E433995
|
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: Edoardo Ponti | Statement: [Sophia Loren, child, Edoardo Ponti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edoardo Ponti Context triple: [Sophia Loren, child, Edoardo Ponti]
-
A.
Alfredo Guzzoni
Alfredo Guzzoni was an Italian army general who commanded Axis forces in Sicily during World War II.
-
B.
Marcello Gandini
Marcello Gandini is an Italian automotive designer renowned for his innovative and angular designs for brands such as Lamborghini, Lancia, and Citroën.
-
C.
Carlo Broggi
Carlo Broggi was an Italian architect best known for his role in designing the Palais des Nations, the former League of Nations headquarters in Geneva.
-
D.
Enrico Forlanini
Enrico Forlanini was an Italian engineer and aviation pioneer known for his early work on helicopters, airships, and hydrofoils.
-
E.
Luciano Vincenzoni
Luciano Vincenzoni was an Italian screenwriter best known for his work on classic Spaghetti Westerns, particularly collaborations with director Sergio Leone.
- 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: Edoardo Ponti Triple: [Sophia Loren, child, Edoardo Ponti]
Generated description
Edoardo Ponti is an Italian film director, screenwriter, and producer known for his work in both European and American cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edoardo Ponti Target entity description: Edoardo Ponti is an Italian film director, screenwriter, and producer known for his work in both European and American cinema.
-
A.
Alfredo Guzzoni
Alfredo Guzzoni was an Italian army general who commanded Axis forces in Sicily during World War II.
-
B.
Marcello Gandini
Marcello Gandini is an Italian automotive designer renowned for his innovative and angular designs for brands such as Lamborghini, Lancia, and Citroën.
-
C.
Carlo Broggi
Carlo Broggi was an Italian architect best known for his role in designing the Palais des Nations, the former League of Nations headquarters in Geneva.
-
D.
Enrico Forlanini
Enrico Forlanini was an Italian engineer and aviation pioneer known for his early work on helicopters, airships, and hydrofoils.
-
E.
Luciano Vincenzoni
Luciano Vincenzoni was an Italian screenwriter best known for his work on classic Spaghetti Westerns, particularly collaborations with director Sergio Leone.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0276363081908e4d17684291b547 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db77e7d88190a7ba250972e133fa |
completed | March 14, 2026, 10:04 p.m. |
| NEDg | Description generation | batch_69b5dc3d81a08190b29b633009fab4ff |
completed | March 14, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e04f356c81909e3f6f2c865e0f99 |
completed | March 14, 2026, 10:25 p.m. |
Created at: March 9, 2026, 3:44 p.m.