Triple
T8427766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop Life |
E199043
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Chris Willis |
E731813
|
NE 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: Chris Willis | Statement: [Pop Life, featuresArtist, Chris Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Willis Context triple: [Pop Life, featuresArtist, Chris Willis]
-
A.
Chris Willis
chosen
Chris Willis is an American singer and songwriter best known for his frequent collaborations with French DJ David Guetta on several international dance hits.
-
B.
Chris Hargensen
Chris Hargensen is a central antagonist in Stephen King’s novel "Carrie," known as a cruel high school bully whose actions help trigger the story’s catastrophic climax.
-
C.
Greg Grissom
Greg Grissom is a sports executive who serves as the president of the NFL’s Houston Texans franchise.
-
D.
Edward R. Rooney
Edward R. Rooney is the strict, bumbling high school principal and main adult antagonist in the 1986 film "Ferris Bueller's Day Off."
-
E.
Kirk Baxter
Kirk Baxter is an Australian film editor best known for his Academy Award–winning collaborations with director David Fincher on films such as "The Social Network" and "The Girl with the Dragon Tattoo."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd124378c819086ea2fa6ecbfffe1 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce399384ec81908d3ace592d1e3aea |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:07 p.m.