Triple
T12171274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cus D'Amato |
E289971
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Cus
Cus is the widely used nickname of legendary boxing trainer and manager Cus D'Amato, known for mentoring champions like Mike Tyson.
|
E967201
|
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: Cus | Statement: [Cus D'Amato, nickname, Cus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cus Context triple: [Cus D'Amato, nickname, Cus]
-
A.
CUZ
CUZ is the IATA airport code for Alejandro Velasco Astete International Airport serving Cusco, Peru.
-
B.
Cusio
Cusio is a picturesque subalpine area in northern Italy known for encompassing the scenic Lake Orta and its surrounding towns.
-
C.
CUN
CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
-
D.
DUS
DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
-
E.
Tus
Tus is a supporting character in the video game "Prince of Persia: The Sands of Time," serving as one of the Prince’s royal relatives and a military leader.
- 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: Cus Triple: [Cus D'Amato, nickname, Cus]
Generated description
Cus is the widely used nickname of legendary boxing trainer and manager Cus D'Amato, known for mentoring champions like Mike Tyson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cus Target entity description: Cus is the widely used nickname of legendary boxing trainer and manager Cus D'Amato, known for mentoring champions like Mike Tyson.
-
A.
CUZ
CUZ is the IATA airport code for Alejandro Velasco Astete International Airport serving Cusco, Peru.
-
B.
Cusio
Cusio is a picturesque subalpine area in northern Italy known for encompassing the scenic Lake Orta and its surrounding towns.
-
C.
CUN
CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
-
D.
DUS
DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
-
E.
Tus
Tus is a supporting character in the video game "Prince of Persia: The Sands of Time," serving as one of the Prince’s royal relatives and a military leader.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a6de3081908e5e0030c081d5a4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f603b639208190a284fcd7e88e9d54 |
completed | May 2, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60491eaec8190a16472fd37740ea0 |
completed | May 2, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.