Triple
T15443182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piero Ferrari |
E369958
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Lina Lardi
Lina Lardi was the partner of Enzo Ferrari and the mother of Piero Ferrari, connected to the founding family of the Ferrari automotive marque.
|
E1157869
|
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: Lina Lardi | Statement: [Piero Ferrari, mother, Lina Lardi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lina Lardi Context triple: [Piero Ferrari, mother, Lina Lardi]
-
A.
Lina Esco
Lina Esco is an American actress, filmmaker, and activist best known for her roles in television series such as "S.W.A.T." and for her advocacy on social and political issues.
-
B.
Lina De Cesare
Lina De Cesare is a Canadian business executive best known as a co-founder and longtime senior leader of the leisure airline and tour operator Air Transat.
-
C.
Lina Romay
Lina Romay was a Mexican-born actress and singer best known as a featured performer in Hollywood films of the 1940s and 1950s.
-
D.
Lilia Vetti
Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
-
E.
Lina
Lina is a Native American servant in Toni Morrison’s novel *A Mercy*, whose history of displacement and resilience reflects the novel’s themes of slavery, colonialism, and survival in 17th-century America.
- 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: Lina Lardi Triple: [Piero Ferrari, mother, Lina Lardi]
Generated description
Lina Lardi was the partner of Enzo Ferrari and the mother of Piero Ferrari, connected to the founding family of the Ferrari automotive marque.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lina Lardi Target entity description: Lina Lardi was the partner of Enzo Ferrari and the mother of Piero Ferrari, connected to the founding family of the Ferrari automotive marque.
-
A.
Lina Esco
Lina Esco is an American actress, filmmaker, and activist best known for her roles in television series such as "S.W.A.T." and for her advocacy on social and political issues.
-
B.
Lina De Cesare
Lina De Cesare is a Canadian business executive best known as a co-founder and longtime senior leader of the leisure airline and tour operator Air Transat.
-
C.
Lina Romay
Lina Romay was a Mexican-born actress and singer best known as a featured performer in Hollywood films of the 1940s and 1950s.
-
D.
Lilia Vetti
Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
-
E.
Lina
Lina is a Native American servant in Toni Morrison’s novel *A Mercy*, whose history of displacement and resilience reflects the novel’s themes of slavery, colonialism, and survival in 17th-century America.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21ab80288190a1a4df8b714bba66 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff2404d948819097b4e4e32489bb0d |
completed | May 9, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff253d8428819092dab16b040c6e88 |
completed | May 9, 2026, 12:14 p.m. |
Created at: April 10, 2026, 3:21 a.m.