Triple
T20997487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightwatching |
E517186
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Natalie Press |
—
|
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: Natalie Press | Statement: [Nightwatching, starring, Natalie Press]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalie Press Context triple: [Nightwatching, starring, Natalie Press]
-
A.
Natalie Press
chosen
Natalie Press is a British actress known for her roles in independent films and period dramas, including the historical drama "Suffragette."
-
B.
Sarah Natochenny
Sarah Natochenny is an American voice actress best known for voicing Ash Ketchum in the English-language version of the Pokémon anime series.
-
C.
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
-
D.
Lissa Evans
Lissa Evans is a British author and former television director and producer, known for her witty, character-driven novels for both adults and children.
-
E.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc22ca6081908bf054ddcfea9e19 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.