Triple
T14068609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Cellucci |
E338541
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cellucci
Cellucci is an Italian-origin surname borne by various notable individuals in politics, sports, and the arts.
|
E1077395
|
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: Cellucci | Statement: [Paul Cellucci, familyName, Cellucci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cellucci Context triple: [Paul Cellucci, familyName, Cellucci]
-
A.
Thinner
Thinner is a 1996 horror film based on Stephen King’s novel of the same name, following a cursed lawyer who rapidly and uncontrollably loses weight after a hit-and-run accident.
-
B.
Big Sugar
Big Sugar is a Canadian rock band known for its heavy, blues-influenced sound and fusion of rock, reggae, and dub styles.
-
C.
Booty
"Booty" is a funk- and soul-infused track from Erykah Badu’s acclaimed neo-soul album *Mama’s Gun*.
-
D.
Fatlip
Fatlip is an American rapper best known as a former member of the influential alternative hip hop group The Pharcyde.
-
E.
Fats
Fats was the nickname of Thomas "Fats" Waller, a celebrated American jazz pianist, organist, composer, and entertainer known for his stride piano style and humorous performances.
- 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: Cellucci Triple: [Paul Cellucci, familyName, Cellucci]
Generated description
Cellucci is an Italian-origin surname borne by various notable individuals in politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cellucci Target entity description: Cellucci is an Italian-origin surname borne by various notable individuals in politics, sports, and the arts.
-
A.
Thinner
Thinner is a 1996 horror film based on Stephen King’s novel of the same name, following a cursed lawyer who rapidly and uncontrollably loses weight after a hit-and-run accident.
-
B.
Big Sugar
Big Sugar is a Canadian rock band known for its heavy, blues-influenced sound and fusion of rock, reggae, and dub styles.
-
C.
Booty
"Booty" is a funk- and soul-infused track from Erykah Badu’s acclaimed neo-soul album *Mama’s Gun*.
-
D.
Fatlip
Fatlip is an American rapper best known as a former member of the influential alternative hip hop group The Pharcyde.
-
E.
Fats
Fats was the nickname of Thomas "Fats" Waller, a celebrated American jazz pianist, organist, composer, and entertainer known for his stride piano style and humorous performances.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568d0404819087e0fe37c72162cb |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66aeff8819088239226bbe25fd5 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc17d16008190bfec11ba0c229aae |
completed | May 7, 2026, 4:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc1fe9bb0819098aa2655330569cb |
completed | May 7, 2026, 4:46 p.m. |
Created at: April 9, 2026, 10:21 p.m.