Triple
T16002822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Vee |
E388136
|
entity |
| Predicate | workedOnSong |
P114554
|
FINISHED |
| Object | Who's That Chick? |
E1188040
|
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: Who's That Chick? | Statement: [Sandy Vee, workedOnSong, Who's That Chick?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Who's That Chick? Context triple: [Sandy Vee, workedOnSong, Who's That Chick?]
-
A.
Who's That Chick?
chosen
"Who's That Chick?" is a dance-pop song by David Guetta featuring Rihanna, known for its upbeat electronic production and club-oriented sound.
-
B.
Who's That
"Who's That" is a song by the British electronic music duo Chocolate Factory.
-
C.
I'm That Chick
"I'm That Chick" is an R&B-pop song by Mariah Carey from her 2008 album E=MC², showcasing her confident, flirtatious persona over a smooth, mid-tempo groove.
-
D.
Who’s That Woman?
"Who’s That Woman?" is a showstopping ensemble number from Stephen Sondheim’s musical *Follies*, known for its intricate staging with older showgirls mirrored by their younger selves.
-
E.
Who Was That Lady?
"Who Was That Lady?" is a 1960 American comedy film starring Dean Martin and Tony Curtis, centered on a professor who fakes an affair to protect his friend, leading to a series of farcical misunderstandings.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fd753c819099707109e35540e1 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf20c5348190b42c2e01e8ef5ea8 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.