Triple
T16284255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lashana Lynch |
E395347
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fast Girls |
E1010627
|
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: Fast Girls | Statement: [Lashana Lynch, notableWork, Fast Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fast Girls Context triple: [Lashana Lynch, notableWork, Fast Girls]
-
A.
Fast Girls
Fast Girls is a song by the American boy band Dream Street, featured as one of the tracks on their releases.
-
B.
Fast Girls
chosen
Fast Girls is a 2012 British sports drama film about rival female sprinters competing for relay glory, co-written by and co-starring Noel Clarke.
-
C.
Fast Life
"Fast Life" is a hip-hop track by American rapper Paul Wall that showcases his signature Southern rap style and themes of hustle and street luxury.
-
D.
Light Girls
Light Girls is a documentary film that explores the experiences, challenges, and cultural perceptions surrounding light-skinned Black women.
-
E.
The Fast Lady
The Fast Lady is a 1962 British comedy film about an enthusiastic young man, his beloved sports car, and the romantic and social scrapes that ensue.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24912c5808190a0d9c9f491315068 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c8f51c8190b73cdf2834eda57f |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.