Triple
T23594959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel B |
E582586
|
entity |
| Predicate | workedAsJudgeOn |
P152851
|
FINISHED |
| Object | America's Got Talent |
—
|
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: America's Got Talent | Statement: [Mel B, workedAsJudgeOn, America's Got Talent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workedAsJudgeOn Context triple: [Mel B, workedAsJudgeOn, America's Got Talent]
-
A.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
B.
hasPrincipalJudge
Indicates that one entity serves as the main or presiding judge for another entity, such as a court or judicial body.
-
C.
hasChiefJudge
Indicates that an entity holds the role or position of chief judge for another entity (such as a court or judicial body).
-
D.
hasSeniorJudge
Indicates that one entity is assigned or linked to another entity serving in the role of a senior judge.
-
E.
clerkedFor
Indicates that one person served as a judicial clerk or legal assistant to another, typically a judge or justice.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08e9aa4819091099dfc2074b22d |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:42 p.m.