Triple
T2240764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Owen |
E49389
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Beautiful World |
E181345
|
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: Beautiful World | Statement: [Mark Owen, notableWork, Beautiful World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beautiful World Context triple: [Mark Owen, notableWork, Beautiful World]
-
A.
Beautiful World
chosen
"Beautiful World" is a 2006 pop album by British boy band Take That that marked their successful comeback after a decade-long hiatus.
-
B.
Until the End of the World
"Until the End of the World" is a song by Irish rock band U2, known for its atmospheric sound and lyrics inspired by a dialogue between Jesus and Judas.
-
C.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
D.
Love Makes the World Go
Love Makes the World Go is a musical work by renowned American composer Richard Rodgers, known for his influential contributions to 20th-century musical theatre.
-
E.
In a Better World
In a Better World is a 2010 Danish drama film directed by Susanne Bier that explores themes of revenge, forgiveness, and moral responsibility through intertwined stories in Denmark and an African refugee camp.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0bccf688190bd10202a62fdf34e |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0cb4f0819087061434d44dc3a3 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.