Triple
T21562596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zara Larsson |
E532073
|
entity |
| Predicate | hasNotableCollaborationWith |
P8554
|
FINISHED |
| Object | Tommy Genesis |
—
|
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: Tommy Genesis | Statement: [Zara Larsson, hasNotableCollaborationWith, Tommy Genesis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Genesis Context triple: [Zara Larsson, hasNotableCollaborationWith, Tommy Genesis]
-
A.
Tommy Genesis
chosen
Tommy Genesis is a Canadian rapper, singer, and visual artist known for her experimental, sexually explicit, and genre-blending approach to hip-hop and pop music.
-
B.
Tommy Titan
Tommy Titan is the costumed athletic mascot representing the University of Detroit Mercy Titans at sporting events and school activities.
-
C.
Tommy Vega
Tommy Vega is a fictional paramedic captain and devoted mother featured in the television drama series "9-1-1: Lone Star."
-
D.
Tommy
"Tommy" is a famous poem by Rudyard Kipling that explores the contrasting ways British society treats soldiers in peacetime versus wartime.
-
E.
Tommy
Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e5c3348190b67003e7027efa60 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.