Triple
T20997482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightwatching |
E517186
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Emily Holmes |
—
|
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: Emily Holmes | Statement: [Nightwatching, starring, Emily Holmes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Holmes Context triple: [Nightwatching, starring, Emily Holmes]
-
A.
Emily Holmes
chosen
Emily Holmes is a Canadian actress known for her roles in film and television, including a supporting part in the thriller "Snakes on a Plane."
-
B.
Mary Holmes
Mary Holmes is the spouse of Peter Holmes, known primarily in relation to him.
-
C.
Jennifer Holmes
Jennifer Holmes is the child of Peter Holmes.
-
D.
Taylor Holmes
Taylor Holmes was an American stage and film actor active in the early to mid-20th century, known for his character roles in both silent and sound cinema.
-
E.
Christine Grady
Christine Grady is an American nurse-bioethicist who heads the Department of Bioethics at the National Institutes of Health Clinical Center and is known for her work on clinical research ethics.
- 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.