Triple
T36155451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolás Pamplona |
E1045717
|
entity |
| Predicate | coJudgeWith |
P184962
|
FINISHED |
| Object | Larry Barrett |
—
|
NE NERFINISHED |
How this triple was built (2 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: Larry Barrett | Statement: [Nicolás Pamplona, coJudgeWith, Larry Barrett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coJudgeWith Context triple: [Nicolás Pamplona, coJudgeWith, Larry Barrett]
-
A.
programChallenge
Indicates that an entity sets or presents a programming-related task or problem for another entity to solve or complete.
-
B.
testCase
Indicates a relationship where a specific scenario, input set, or condition is used to verify, validate, or evaluate the behavior or correctness of a system, component, or function.
-
C.
codeOn
Indicates that one entity writes, develops, or modifies software using or for another entity (such as a platform, project, or codebase).
-
D.
problemTypeSolved
Indicates that a given problem has been successfully solved or resolved by a particular entity or method.
-
E.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
- F. None of above. chosen
Provenance (4 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.