Triple
T12490225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilly Singh |
E298541
|
entity |
| Predicate | A Little Late with Lilly Singh_premiereYear |
P105266
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Lilly Singh, A Little Late with Lilly Singh_premiereYear, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: A Little Late with Lilly Singh_premiereYear Context triple: [Lilly Singh, A Little Late with Lilly Singh_premiereYear, 2019]
-
A.
laterReleased
Indicates that one entity was released at a time chronologically after the release of another entity.
-
B.
laterReleaseYear
Indicates that the release year of one entity occurs after the release year of another entity.
-
C.
laterHadLyricsIn
Indicates that lyrics were added to a previously existing work at a later time.
-
D.
laterSingleRelease
Indicates that one entity is a single release that was issued later in time than another related single release.
-
E.
hasLaterTitle
Indicates that one title occurs chronologically after another title in a sequence or timeline.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e87e0e88190bc49dcfe4954c7e0 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.