Triple
T1881111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adele |
E39853
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Hello |
E210403
|
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: Hello | Statement: [Adele, notableSong, Hello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello Context triple: [Adele, notableSong, Hello]
-
A.
Hello
chosen
"Hello" is a globally successful power ballad by English singer Adele, known for its emotive vocals and themes of nostalgia and regret.
-
B.
Hello
"Hello" is a 1984 soft rock ballad by Lionel Richie, renowned for its emotive lyrics, iconic music video, and enduring popularity as one of his signature songs.
-
C.
Salutati
Salutati is an Italian surname most notably associated with Coluccio Salutati, a leading 14th-century humanist and Chancellor of Florence.
-
D.
Ciao
Ciao was the abstract, stick-figure mascot of the 1990 FIFA World Cup in Italy, featuring a body made of colored cubes in the Italian flag’s colors and a football for a head.
-
E.
Hello Mary Lou
"Hello Mary Lou" is a popular 1961 rock and roll song recorded by Ricky Nelson that became one of his signature hits.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fb95b48190af5286662c8b9734 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae44f6c8190a5924609863030a4 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.