Triple
T21638843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiva Rose |
E534033
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Shiva Rose |
—
|
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: Shiva Rose | Statement: [Shiva Rose, name, Shiva Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiva Rose Context triple: [Shiva Rose, name, Shiva Rose]
-
A.
Shiva Rose
chosen
Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
-
B.
Moriah Rose
Moriah Rose is a television producer best known for her executive production work on the political satire series "The President Show."
-
C.
Roslyn Kalloo
Roslyn Kalloo is a film editor best known for her work on the acclaimed drama "Women Talking."
-
D.
Shaynna Blaze
Shaynna Blaze is an Australian interior designer and television personality best known for her design expertise on home renovation shows.
-
E.
Ariel Moore
Ariel Moore is the rebellious and spirited teenage daughter of a strict minister in the musical film "Footloose," whose desire for freedom and dancing drives much of the story’s conflict.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538fb12481908f70ad8dbe1d99e4 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.