Triple
T5342279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Connelly |
E123970
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dark City |
E123975
|
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: Dark City | Statement: [Jennifer Connelly, notableWork, Dark City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark City Context triple: [Jennifer Connelly, notableWork, Dark City]
-
A.
Dark City
chosen
Dark City is a 1998 neo-noir science fiction film known for its atmospheric visuals, philosophical themes about memory and identity, and cult following.
-
B.
Chronic City
Chronic City is a surreal, satirical novel by Jonathan Lethem that explores reality, media, and urban life through a fantastical version of contemporary Manhattan.
-
C.
City Noir
City Noir is a jazz-inflected orchestral work by American composer John Adams, inspired by mid-20th-century film noir and the atmosphere of Los Angeles.
-
D.
Murder City
"Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
-
E.
Cities of the Red Night
Cities of the Red Night is a surreal, nonlinear novel by William S. Burroughs that blends pirate adventure, occult themes, and dystopian visions in an experimental narrative style.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cc5a9881909e23bf9c5b697a8e |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18cc387c8190a9fe430fe5bb38ce |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2:01 p.m.