Triple
T14551805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPAL |
E341435
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
Joe Tacopina
Joe Tacopina is an American lawyer and sports executive known for his high-profile legal work and leadership roles at Italian football clubs.
|
E1194655
|
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: Joe Tacopina | Statement: [SPAL, chairman, Joe Tacopina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Tacopina Context triple: [SPAL, chairman, Joe Tacopina]
-
A.
Frank Tagliano
Frank Tagliano is the fictional New York mobster-turned-relocated witness protection figure portrayed by Steven Van Zandt in the Norwegian-American TV series "Lilyhammer."
-
B.
Tony DeMarco
Tony DeMarco was an American professional boxer and former world welterweight champion known for his aggressive, crowd-pleasing fighting style during the 1950s.
-
C.
Tony Lombardo
Tony Lombardo is a film editor known for his work on the comedy movie "Van Wilder."
-
D.
Tony Palermo
Tony Palermo is an American drummer best known for his work with the rock band Papa Roach.
-
E.
Tony D'Amato
Tony D'Amato is the hard-driving, old-school head coach of the fictional Miami Sharks football team in the film "Any Given Sunday," portrayed by Al Pacino.
- 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: Joe Tacopina Triple: [SPAL, chairman, Joe Tacopina]
Generated description
Joe Tacopina is an American lawyer and sports executive known for his high-profile legal work and leadership roles at Italian football clubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Tacopina Target entity description: Joe Tacopina is an American lawyer and sports executive known for his high-profile legal work and leadership roles at Italian football clubs.
-
A.
Frank Tagliano
Frank Tagliano is the fictional New York mobster-turned-relocated witness protection figure portrayed by Steven Van Zandt in the Norwegian-American TV series "Lilyhammer."
-
B.
Tony DeMarco
Tony DeMarco was an American professional boxer and former world welterweight champion known for his aggressive, crowd-pleasing fighting style during the 1950s.
-
C.
Tony Lombardo
Tony Lombardo is a film editor known for his work on the comedy movie "Van Wilder."
-
D.
Tony Palermo
Tony Palermo is an American drummer best known for his work with the rock band Papa Roach.
-
E.
Tony D'Amato
Tony D'Amato is the hard-driving, old-school head coach of the fictional Miami Sharks football team in the film "Any Given Sunday," portrayed by Al Pacino.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb75ea708190a30153c76cde8e79 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec5cc1808190ae622027804b43f2 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed56235c8190b2075cce605ecf03 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 1:23 a.m.