Triple
T13716820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet film industry |
E328922
|
entity |
| Predicate | notableFilm |
P22
|
FINISHED |
| Object | Stalker |
E216756
|
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: Stalker | Statement: [Soviet film industry, notableFilm, Stalker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stalker Context triple: [Soviet film industry, notableFilm, Stalker]
-
A.
Stalker
chosen
Stalker is a 1979 Soviet science fiction art film by Andrei Tarkovsky that follows a guide leading two men through a mysterious forbidden zone said to grant one’s deepest desires.
-
B.
Stalker
Stalker is an American psychological thriller television series centered on a specialized LAPD unit that investigates stalking-related crimes.
-
C.
Stalker (TV series)
Stalker is an American psychological thriller television series that follows a specialized LAPD unit investigating stalking cases, starring Dylan McDermott and Maggie Q.
-
D.
Wasteland
Wasteland is a 1990 American drama film directed by and starring Melanie Mayron, exploring the lives and relationships of a group of young adults.
-
E.
Wasteland
Wasteland is a post-apocalyptic comic series written by Antony Johnston, noted for its bleak world-building and long-form storytelling.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5878948190a2aaab2ba31bd1ed |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.