Triple
T23469953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisean Paul Anderson |
E569198
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Beautiful Girls |
—
|
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: Beautiful Girls | Statement: [Kisean Paul Anderson, notableWork, Beautiful Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beautiful Girls Context triple: [Kisean Paul Anderson, notableWork, Beautiful Girls]
-
A.
Beautiful Girls
Beautiful Girls is a 1996 ensemble romantic dramedy film about a group of small-town friends reuniting for a high school reunion and confronting their stalled lives and relationships.
-
B.
Beautiful Girls
chosen
"Beautiful Girls" is a 2007 reggae-influenced pop song by Sean Kingston that became a worldwide hit known for its catchy melody and doo-wop-inspired hook.
-
C.
These Girls
"These Girls" is a song by American singer-songwriter Ryan Adams from his 2007 album *Easy Tiger*.
-
D.
Pretty Girls
"Pretty Girls" is a pop-rock song by Swedish duo Roxette from their 1988 album *Look Sharp!*, known for its catchy melody and upbeat production.
-
E.
The Girls
The Girls is a novel by British writer John Bowen, known for its darkly comic and unsettling exploration of gender, power, and social norms.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.