Triple
T1501918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Perry |
E33814
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Smile |
E171177
|
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: Smile | Statement: [Katy Perry, album, Smile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smile Context triple: [Katy Perry, album, Smile]
-
A.
Smile
chosen
"Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
-
B.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
-
C.
Smiles
Smiles is a Brazilian frequent-flyer and loyalty program that allows members to earn and redeem miles across flights, partner airlines, and various retail and service partners.
-
D.
Funny Face
Funny Face is a 1957 musical romantic comedy film starring Audrey Hepburn and Fred Astaire, celebrated for its fashion-forward Paris setting, iconic dance numbers, and classic songs.
-
E.
Big Eyes
Big Eyes is a 2014 biographical drama film directed by Tim Burton that tells the story of painter Margaret Keane and the legal battle over the credit for her distinctive big-eyed children paintings.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872e41848190b35b37f32aef784f |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad233464b08190927694a8f236227b |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:24 p.m.