Triple
T1257643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celine Dion |
E12428
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Taking Chances |
E143086
|
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: Taking Chances | Statement: [Celine Dion, notableAlbum, Taking Chances]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taking Chances Context triple: [Celine Dion, notableAlbum, Taking Chances]
-
A.
Taking Chances
chosen
Taking Chances is a pop album by Canadian singer Celine Dion that marked her return to English-language studio recordings in the late 2000s.
-
B.
One More Chance
"One More Chance" is a hit hip-hop single by The Notorious B.I.G., known for its smooth R&B-influenced remix and status as one of his most commercially successful and iconic tracks.
-
C.
Take a Chance on Me
"Take a Chance on Me" is a hit pop song by the Swedish group ABBA, known for its catchy harmonies and prominent use in the musical and film "Mamma Mia!".
-
D.
Chancy
Chancy is a small Swiss municipality located at the western tip of the canton of Geneva, near the border with France.
-
E.
Playing It My Way
Playing It My Way is the memoir of Indian cricket legend Sachin Tendulkar, chronicling his life, career, and experiences on and off the field.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfaa2b508190a3f61c67b3fa3ad4 |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9980a2a4819094ab26ac390476be |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.