Triple
T7418581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoë Kravitz |
E171187
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Sy Kravitz |
E33815
|
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: Sy Kravitz | Statement: [Zoë Kravitz, relative, Sy Kravitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sy Kravitz Context triple: [Zoë Kravitz, relative, Sy Kravitz]
-
A.
Lenny Kravitz
chosen
Lenny Kravitz is an American rock musician, singer-songwriter, and actor known for his retro-inspired sound blending rock, soul, funk, and blues.
-
B.
Kravitz
Kravitz is a surname most prominently associated with American rock musician and actor Lenny Kravitz.
-
C.
Maty Siman
Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
-
D.
John Kurzweg
John Kurzweg is an American record producer and musician best known for his work on successful rock and alternative albums in the late 1990s and early 2000s.
-
E.
Rufus Wainwright
Rufus Wainwright is a Canadian-American singer-songwriter and composer known for his lush, theatrical pop music and distinctive, operatic vocal style.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c51901081908ad8513c860408eb |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:11 p.m.