Triple
T5797490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Cervi |
E128543
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cervi
Cervi is an Italian surname most notably associated with Al Cervi, a Hall of Fame American professional basketball player and coach.
|
E549001
|
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: Cervi | Statement: [Al Cervi, familyName, Cervi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cervi Context triple: [Al Cervi, familyName, Cervi]
-
A.
Capra
Capra is a genus of mammals that includes goats and wild goat-like species such as ibexes, known for their sure-footedness in mountainous terrain.
-
B.
Capra walie
Capra walie, commonly known as the Walia ibex, is an endangered wild goat species endemic to the highlands of Ethiopia.
-
C.
Tule elk
The tule elk is a subspecies of elk native to California, known for its recovery from near extinction and its preference for open grasslands and marshy habitats.
-
D.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
E.
Bové
Bové is the surname of Joseph Bové, a prominent 19th-century architect known for helping shape the neoclassical appearance of central Moscow.
- 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: Cervi Triple: [Al Cervi, familyName, Cervi]
Generated description
Cervi is an Italian surname most notably associated with Al Cervi, a Hall of Fame American professional basketball player and coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cervi Target entity description: Cervi is an Italian surname most notably associated with Al Cervi, a Hall of Fame American professional basketball player and coach.
-
A.
Capra
Capra is a genus of mammals that includes goats and wild goat-like species such as ibexes, known for their sure-footedness in mountainous terrain.
-
B.
Capra walie
Capra walie, commonly known as the Walia ibex, is an endangered wild goat species endemic to the highlands of Ethiopia.
-
C.
Tule elk
The tule elk is a subspecies of elk native to California, known for its recovery from near extinction and its preference for open grasslands and marshy habitats.
-
D.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
E.
Bové
Bové is the surname of Joseph Bové, a prominent 19th-century architect known for helping shape the neoclassical appearance of central Moscow.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a945fe0819095e62d480c84a2b5 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098302d4c81908b56747d304b3e6a |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098d889e08190adbd12504a7f3fa1 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09990da18819099fdc8f25f2ddef2 |
completed | March 23, 2026, 1:38 a.m. |
Created at: March 22, 2026, 3:51 p.m.