Triple
T6022695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixie Lott |
E134100
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Pixie Lott |
E134100
|
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: Pixie Lott | Statement: [Pixie Lott, album, Pixie Lott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pixie Lott Context triple: [Pixie Lott, album, Pixie Lott]
-
A.
Pixie Lott
chosen
Pixie Lott is an English singer, songwriter, and actress who rose to fame with her 2009 debut single "Mama Do (Uh Oh, Uh Oh)" and subsequent pop hits.
-
B.
Olly Murs
Olly Murs is an English singer, songwriter, and television personality who rose to fame on The X Factor and later became a prominent pop artist and TV coach.
-
C.
Jess Glynne
Jess Glynne is an English singer and songwriter known for her soulful vocals and chart-topping pop and dance hits, including several UK number-one singles.
-
D.
Ella Henderson
Ella Henderson is an English singer and songwriter who rose to fame as a contestant on The X Factor UK and is known for hits like "Ghost."
-
E.
Sarah Wildes
Sarah Wildes was a woman executed for witchcraft during the Salem witch trials in 1692.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbbf03c8190baf449a5d393af5c |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1136da26081909b753fa8a2a91084 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:07 p.m.