Triple
T10737387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Rosie |
E253227
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Suki Waterhouse |
E354446
|
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: Suki Waterhouse | Statement: [Love, Rosie, stars, Suki Waterhouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suki Waterhouse Context triple: [Love, Rosie, stars, Suki Waterhouse]
-
A.
Suki Waterhouse
chosen
Suki Waterhouse is an English model, actress, and singer known for her fashion work, film roles, and music career.
-
B.
Vanessa Pike
Vanessa Pike is an actress known for her role in the 1995 horror film "The Mangler," adapted from a Stephen King short story.
-
C.
Rosanna Hoult
Rosanna Hoult is a British actress known for her work in film and television and as the sister of actor Nicholas Hoult.
-
D.
Samara Weaving
Samara Weaving is an Australian actress known for her roles in film and television, particularly in horror-comedy and thriller projects such as "Ready or Not" and "The Babysitter."
-
E.
Isla Dawson
Isla Dawson is a remote Chilean island in southern Patagonia, located within the Strait of Magellan and known for its harsh climate and historical use as a mission and penal colony.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d6878a54819080050011e718c4e8 |
completed | April 18, 2026, 12:55 a.m. |
Created at: April 8, 2026, 9:14 p.m.