Triple
T6022689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixie Lott |
E134100
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | What Do You Take Me For? |
E565241
|
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: What Do You Take Me For? | Statement: [Pixie Lott, single, What Do You Take Me For?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What Do You Take Me For? Context triple: [Pixie Lott, single, What Do You Take Me For?]
-
A.
What Do You Take Me For?
chosen
"What Do You Take Me For?" is a pop-dance single by English singer Pixie Lott, known for its upbeat production and confident, sassy lyrics.
-
B.
For You For Me
"For You For Me" is a track from Jon Anderson’s 1980 progressive rock solo album "Song of Seven."
-
C.
That’s for Me
"That’s for Me" is a romantic song by Richard Rodgers and Oscar Hammerstein II, introduced by Dick Haymes in the 1945 musical film *State Fair*.
-
D.
What You Do to Me
"What You Do to Me" is a song featured on the album *Darkness and Light* by American singer-songwriter John Legend.
-
E.
But Not for Me
"But Not for Me" is a popular jazz and pop standard composed by George Gershwin with lyrics by Ira Gershwin, widely recorded by numerous artists since its 1930 debut.
- 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_69c11ce9ea008190bc9056ee1822fd0f |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:07 p.m.