Triple
T12490232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilly Singh |
E298541
|
entity |
| Predicate | A Trip to Unicorn Island_releaseYear |
P105267
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Lilly Singh, A Trip to Unicorn Island_releaseYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: A Trip to Unicorn Island_releaseYear Context triple: [Lilly Singh, A Trip to Unicorn Island_releaseYear, 2016]
-
A.
operatesOnTreasureIsland
Indicates that an entity conducts business, activities, or operations on Treasure Island.
-
B.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
C.
خيوط التطريز
Indicates the relationship of being threads specifically used for embroidery work.
-
D.
La Princesse lointaine
Indicates a distant or unattainable beloved, emphasizing emotional longing and separation rather than physical closeness.
-
E.
inUniverseTour
Indicates that an event or tour takes place within the fictional universe or setting of a particular work, rather than in the real world.
- 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.