Triple
T38241366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil Dicky |
E1013767
|
entity |
| Predicate | hasTVSeriesDebutAsLead |
P180474
|
FINISHED |
| Object | Dave |
—
|
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: Dave | Statement: [Lil Dicky, hasTVSeriesDebutAsLead, Dave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTVSeriesDebutAsLead Context triple: [Lil Dicky, hasTVSeriesDebutAsLead, Dave]
-
A.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
B.
hasOnScreenDebutActor
Indicates that an actor makes their first on-screen appearance in the referenced work or production.
-
C.
hasLeadInSeries
Indicates that one entity serves as the primary or starring role in a series associated with another entity.
-
D.
notableSeriesDebut
chosen
Indicates that an entity is recognized for making its first significant appearance or debut within a particular series.
-
E.
debutedOnTelevisionIn
Indicates that an entity made its first appearance or was first broadcast on television in a specified time or context.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.