Triple
T19933275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gian Diego Tipaldi |
E479109
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tipaldi
Tipaldi is an Italian surname associated with individuals such as Gian Diego Tipaldi.
|
E1402608
|
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: Tipaldi | Statement: [Gian Diego Tipaldi, familyName, Tipaldi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tipaldi Context triple: [Gian Diego Tipaldi, familyName, Tipaldi]
-
A.
Tony DiCicco
Tony DiCicco was an American soccer coach best known for leading the U.S. women’s national team to victory in the 1996 Olympics and the 1999 FIFA Women’s World Cup.
-
B.
John Tusa
John Tusa is a British arts administrator, broadcaster, and former managing director of the BBC World Service and the Barbican Centre.
-
C.
Trestman
Trestman is the surname of Marc Trestman, an American football coach known for his work in the NFL and CFL.
-
D.
Eric Mangini
Eric Mangini is an American football coach best known for serving as head coach of the New York Jets and Cleveland Browns in the NFL.
-
E.
Kevin DiCicco
Kevin DiCicco is a screenwriter best known for creating and writing the family sports film franchise featuring the basketball-playing dog Air Bud.
- 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: Tipaldi Triple: [Gian Diego Tipaldi, familyName, Tipaldi]
Generated description
Tipaldi is an Italian surname associated with individuals such as Gian Diego Tipaldi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tipaldi Target entity description: Tipaldi is an Italian surname associated with individuals such as Gian Diego Tipaldi.
-
A.
Tony DiCicco
Tony DiCicco was an American soccer coach best known for leading the U.S. women’s national team to victory in the 1996 Olympics and the 1999 FIFA Women’s World Cup.
-
B.
John Tusa
John Tusa is a British arts administrator, broadcaster, and former managing director of the BBC World Service and the Barbican Centre.
-
C.
Trestman
Trestman is the surname of Marc Trestman, an American football coach known for his work in the NFL and CFL.
-
D.
Eric Mangini
Eric Mangini is an American football coach best known for serving as head coach of the New York Jets and Cleveland Browns in the NFL.
-
E.
Kevin DiCicco
Kevin DiCicco is a screenwriter best known for creating and writing the family sports film franchise featuring the basketball-playing dog Air Bud.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a1553348190a6c4004d3f9a57c5 |
completed | April 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6e639788190a63c52cf284dbe99 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f7d235688190971c9c0063669470 |
completed | May 16, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f891e5c081909e30e9ce7c271359 |
completed | May 16, 2026, 4:54 a.m. |
Created at: April 10, 2026, 1:53 p.m.