Triple
T13323470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionel Richie |
E317374
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hello |
E70708
|
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: [Lionel Richie, notableWork, Hello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello Context triple: [Lionel Richie, notableWork, Hello]
-
A.
Hello
chosen
"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.
-
B.
Hello
"Hello" is a standout track from Erykah Badu’s mixtape *But You Caint Use My Phone*, blending her neo-soul style with phone-themed conceptual storytelling.
-
C.
Hello
"Hello" is a song featured in the musical production "The Circus."
-
D.
Hello
"Hello" is a globally successful power ballad by English singer Adele, known for its emotive vocals and themes of nostalgia and regret.
-
E.
Salut
"Salut" is a poem included in Arthur Rimbaud’s collection *Poésies*, reflecting his innovative and influential Symbolist style.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992c1fec8190bcb6a6bb3c973a24 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2cd5688190a2a0db0f0295de83 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:30 p.m.