Triple
T12951416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Clarke |
E309900
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fast Girls
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.
|
E1010627
|
NE FINISHED |
How this triple was built (4 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: [Noel Clarke, notableWork, Fast Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fast Girls Context triple: [Noel Clarke, 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 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.
-
C.
Light Girls
Light Girls is a documentary film that explores the experiences, challenges, and cultural perceptions surrounding light-skinned Black women.
-
D.
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.
-
E.
Quick Fast
"Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fast Girls Triple: [Noel Clarke, notableWork, Fast Girls]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fast Girls Target entity description: 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.
-
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 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.
-
C.
Light Girls
Light Girls is a documentary film that explores the experiences, challenges, and cultural perceptions surrounding light-skinned Black women.
-
D.
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.
-
E.
Quick Fast
"Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
- F. None of above. chosen
Provenance (5 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1dc4c88190ab27b832d6a7c556 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7a10f48190b7e0d32725f83fb6 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b02e3b9881909387c1f70176a1bd |
completed | May 3, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b11ced30819090f67a0b1e1369aa |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 9, 2026, 5:43 p.m.