Triple
T14134008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Len Deighton |
E350242
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Funeral in Berlin |
E478152
|
NE FINISHED |
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: Funeral in Berlin | Statement: [Len Deighton, notableWork, Funeral in Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funeral in Berlin Context triple: [Len Deighton, notableWork, Funeral in Berlin]
-
A.
Funeral in Berlin
chosen
Funeral in Berlin is a 1966 British Cold War spy film starring Michael Caine as secret agent Harry Palmer, adapted from Len Deighton’s novel of the same name.
-
B.
Berlin Alexanderplatz
Berlin Alexanderplatz is a major public square and transport hub in central Berlin, known for its shopping areas, historic sites, and proximity to the iconic TV Tower.
-
C.
Mon enfant de Berlin
Mon enfant de Berlin is a semi-autobiographical novel by Anne Wiazemsky that recounts a young French woman's experiences and personal awakening in post-World War II Berlin.
-
D.
Galgenlieder
Galgenlieder is a famous collection of humorous and linguistically playful nonsense poems by German writer Christian Morgenstern.
-
E.
Death at a Funeral
Death at a Funeral is a 2007 British black comedy film centered on a dysfunctional family gathering for a chaotic and farcical funeral.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1288b48190a382732fac13aaf7 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 11:40 p.m.