Triple
T33308699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Idol (season 10) |
E852807
|
entity |
| Predicate | introducedJudge |
P195150
|
FINISHED |
| Object | Jennifer Lopez |
—
|
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: Jennifer Lopez | Statement: [American Idol (season 10), introducedJudge, Jennifer Lopez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedJudge Context triple: [American Idol (season 10), introducedJudge, Jennifer Lopez]
-
A.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
B.
workedAsJudgeOn
Indicates that a person served in the role of a judge in connection with a particular case, court, or judicial proceeding.
-
C.
hasJudgeFrom
Indicates that an entity has a judge whose origin, affiliation, or source is from a specified place or organization.
-
D.
originatingJudge
Indicates the judge who initially handled or issued the original decision or order in a legal matter.
-
E.
layJudgeSystemIntroduced
Indicates that a lay judge system, involving non-professional citizens in judicial decision-making, has been introduced.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
| PDg | Predicate description generation | batch_69fda945e1e08190bf923fcd4d2c548a |
completed | May 8, 2026, 9:13 a.m. |
Created at: May 1, 2026, 1:33 a.m.