Triple
T8066921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make Her Say |
E188265
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Lady Gaga |
E40359
|
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: Lady Gaga | Statement: [Make Her Say, writer, Lady Gaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Gaga Context triple: [Make Her Say, writer, Lady Gaga]
-
A.
Lady Gaga
chosen
Lady Gaga is an American singer, songwriter, and actress known for her powerful vocals, theatrical performances, and influence on contemporary pop music and fashion.
-
B.
Gaga
Gaga is a musical group that featured innovative guitarist and songwriter Adrian Belew as a member.
-
C.
Stefani Germanotta
Stefani Germanotta, better known by her stage name Lady Gaga, is an American singer, songwriter, and actress renowned for her powerful vocals, provocative artistry, and boundary-pushing pop music.
-
D.
Madonna
Madonna is a central figure in Christianity revered as the mother of Jesus Christ and a symbol of purity, compassion, and maternal devotion.
-
E.
Madonna
Madonna is an American pop icon, singer, songwriter, and actress widely known as the "Queen of Pop" for her influential, boundary-pushing work in music and popular culture since the 1980s.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff75d208190b7c53d2fe55878ac |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e1ed44819083ed9db6c9d7b0fd |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.