Triple
T19090586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamie Bamber |
E467269
|
entity |
| Predicate | characterIn |
P12208
|
FINISHED |
| Object | Marcella |
—
|
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: Marcella | Statement: [Jamie Bamber, characterIn, Marcella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcella Context triple: [Jamie Bamber, characterIn, Marcella]
-
A.
Marcella
Marcella is the efficient, sharp-tongued assistant to hitman Martin Blank in the dark comedy film "Grosse Pointe Blank."
-
B.
Marcella
Marcella is a British crime drama television series centered on a troubled former detective who returns to investigate a string of murders that echo an old case.
-
C.
Marcella
Marcella is an opera by Italian composer Umberto Giordano.
-
D.
Ina
Ina is a feminine given name that gained literary prominence through figures such as American poet Ina Coolbrith.
-
E.
Marcella Backland
chosen
Marcella Backland is the troubled, amnesiac London detective protagonist of the British crime drama series "Marcella."
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34b6b348190bb868356ed8b655a |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.