Triple
T1194993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Day |
E25647
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Bono |
E23018
|
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: Bono | Statement: [Beautiful Day, composer, Bono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bono Context triple: [Beautiful Day, composer, Bono]
-
A.
Bono
chosen
Bono is an Irish singer, songwriter, and activist best known as the lead vocalist and lyricist of the rock band U2.
-
B.
Adam Clayton
Adam Clayton is an English-born Irish musician best known as the longtime bassist for the rock band U2.
-
C.
Ed Byrne
Ed Byrne is an Irish stand-up comedian and actor known for his observational humor and frequent appearances on British television panel shows.
-
D.
Thomas Moore
Thomas Moore was a renowned 19th-century Irish poet, singer, and songwriter best known for his lyrical verse and the collection "Irish Melodies."
-
E.
Brian McBride
Brian McBride is a former American soccer forward renowned for his goal-scoring prowess with the U.S. national team and clubs including Fulham in the English Premier League.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd78f61c8190bdba2255d35a8fe4 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8a9f91808190b44715dc3df31cc3 |
completed | March 8, 2026, 2:41 p.m. |
Created at: March 1, 2026, 7:46 p.m.