Triple
T15340834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nonito Donaire |
E366788
|
entity |
| Predicate | lostTo |
P356
|
FINISHED |
| Object |
Nicholas Walters
Nicholas Walters is a Jamaican former professional boxer and WBA featherweight champion known for his power and notable victories over top contenders.
|
E1154560
|
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: Nicholas Walters | Statement: [Nonito Donaire, lostTo, Nicholas Walters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Walters Context triple: [Nonito Donaire, lostTo, Nicholas Walters]
-
A.
Nicholas Williams
Nicholas Williams is a songwriter best known for co-writing the global hit single "Uptown Funk."
-
B.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
C.
Nicholas Lucas
Nicholas Lucas was an early colonial leader known for helping establish the West Jersey settlement in what is now New Jersey.
-
D.
Nicholas Dill
Nicholas Dill is an Anglican bishop who serves as the head of the Church of England in Bermuda.
-
E.
Nicholas Saul
Nicholas Saul was the founder of the institution that became the Academy of Natural Sciences of Drexel University, one of the oldest natural history museums and scientific research centers in the United States.
- 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: Nicholas Walters Triple: [Nonito Donaire, lostTo, Nicholas Walters]
Generated description
Nicholas Walters is a Jamaican former professional boxer and WBA featherweight champion known for his power and notable victories over top contenders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicholas Walters Target entity description: Nicholas Walters is a Jamaican former professional boxer and WBA featherweight champion known for his power and notable victories over top contenders.
-
A.
Nicholas Williams
Nicholas Williams is a songwriter best known for co-writing the global hit single "Uptown Funk."
-
B.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
C.
Nicholas Lucas
Nicholas Lucas was an early colonial leader known for helping establish the West Jersey settlement in what is now New Jersey.
-
D.
Nicholas Dill
Nicholas Dill is an Anglican bishop who serves as the head of the Church of England in Bermuda.
-
E.
Nicholas Saul
Nicholas Saul was the founder of the institution that became the Academy of Natural Sciences of Drexel University, one of the oldest natural history museums and scientific research centers in the United States.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1341033881909121ade33cecaf50 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:17 a.m.