Triple
T23964139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Tucker |
E604013
|
entity |
| Predicate | hasChildPerformerBackground |
P67683
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Junior Tucker, hasChildPerformerBackground, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildPerformerBackground Context triple: [Junior Tucker, hasChildPerformerBackground, true]
-
A.
hasPerformerBackground
Indicates that an entity has a specific background, experience, or history as a performer.
-
B.
childPerformer
chosen
Indicates a relationship where the subject is a performer who is a child, typically under a certain age, participating in a performance or production.
-
C.
hasPerformerFamily
Indicates that an entity has a family member who performs or participates as a performer in relation to that entity.
-
D.
hasArrangerBackground
Indicates that an entity has a background or experience in musical arranging.
-
E.
hasChildVersionOfSinger
Indicates that one entity is a child version or younger incarnation of a singer represented by another entity.
- F. None of above.
Provenance (3 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1d616dc8190accd8f343a809e6f |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:24 p.m.