Triple
T16455884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death in Heaven |
E399675
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | Jemma Redgrave |
—
|
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: Jemma Redgrave | Statement: [Death in Heaven, featuresActor, Jemma Redgrave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jemma Redgrave Context triple: [Death in Heaven, featuresActor, Jemma Redgrave]
-
A.
Jemma Redgrave
chosen
Jemma Redgrave is a British actress best known for her work in television dramas and for playing prominent roles in long-running series such as Doctor Who.
-
B.
Olivia Williams
Olivia Williams is a British actress known for her versatile performances in film, television, and theatre, including notable roles in works like "The Sixth Sense," "Rushmore," and "An Education."
-
C.
Kristin Scott Thomas
Kristin Scott Thomas is an acclaimed British actress known for her nuanced performances in films such as "The English Patient," "Four Weddings and a Funeral," and "The Horse Whisperer."
-
D.
Laura Penn
Laura Penn is known as the spouse of American screenwriter and director Zak Penn.
-
E.
Tamsin Greig
Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7d3bf4819092d5bff6de0859e8 |
completed | April 18, 2026, 7:06 a.m. |
Created at: April 10, 2026, 5:10 a.m.