Triple
T19119225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid Pitt |
E467995
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ingrid Pitt |
—
|
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: Ingrid Pitt | Statement: [Ingrid Pitt, name, Ingrid Pitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingrid Pitt Context triple: [Ingrid Pitt, name, Ingrid Pitt]
-
A.
Ingrid Pitt
chosen
Ingrid Pitt was a Polish-British actress best known as a cult horror icon for her roles in 1970s British genre films.
-
B.
Ingrid Caven
Ingrid Caven is a German actress and singer known for her work in European art-house cinema and her collaborations with director Rainer Werner Fassbinder.
-
C.
Angela Sidney
Angela Sidney was a renowned Tagish storyteller and language preservationist from the Yukon who played a key role in documenting and revitalizing her people's oral traditions and culture.
-
D.
Claire Bloom
Claire Bloom is an acclaimed English actress known for her distinguished stage and screen career, including prominent roles in classic films, television dramas, and Shakespearean productions.
-
E.
Greta Scacchi
Greta Scacchi is an Italian-Australian actress known for her work in international cinema and television, including acclaimed performances in films such as "White Mischief" and "The Player."
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c810808190a88d5c7859e7c650 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.