Triple
T16332352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westside Gunn |
E396584
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Pray for Paris |
E1207890
|
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: Pray for Paris | Statement: [Westside Gunn, album, Pray for Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pray for Paris Context triple: [Westside Gunn, album, Pray for Paris]
-
A.
Pray for Paris
chosen
Pray for Paris is a critically acclaimed 2020 hip-hop album by Westside Gunn known for its luxurious, art-inspired aesthetic and gritty, sample-heavy boom-bap production.
-
B.
Les Parisiens
Les Parisiens is the widely used French nickname for Paris Saint-Germain Football Club and its players, emphasizing their identity as representatives of Paris.
-
C.
Les Parisiens
Les Parisiens is a French drama film that follows the intersecting lives and emotional struggles of various characters in contemporary Paris.
-
D.
Paris en colère
"Paris en colère" is a famous French song performed by Mireille Mathieu, known for its emotional portrayal of Paris’s spirit and resilience.
-
E.
The 15:17 to Paris
The 15:17 to Paris is a 2018 biographical thriller film directed by Clint Eastwood that dramatizes the real-life thwarting of a 2015 terrorist attack on a Paris-bound train by three American friends, who portray themselves in the movie.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e0b1388190824b286e8452fb32 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dabc89481908005f5b2060abded |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.