Triple
T23190892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Block |
E579728
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Lady Gaga |
—
|
NE NERFINISHED |
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: [The Block, featuresArtist, Lady Gaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Gaga Context triple: [The Block, featuresArtist, 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.
Natali Germanotta
Natali Germanotta is an American fashion designer and stylist best known as the younger sister of pop star Lady Gaga.
-
D.
Cynthia Germanotta
Cynthia Germanotta is an American philanthropist and activist best known as the mother of Lady Gaga and co-founder of the Born This Way Foundation, which focuses on youth empowerment and mental health.
-
E.
Mara Scherzinger
Mara Scherzinger is a German-Australian actress best known for her role in the teen surfing television series "Blue Water High."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd777c08190bf79e38844fedf27 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.