Triple
T1627646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consequence |
E35182
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Movies on Demand 3 |
E184906
|
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: Movies on Demand 3 | Statement: [Consequence, notableWork, Movies on Demand 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Movies on Demand 3 Context triple: [Consequence, notableWork, Movies on Demand 3]
-
A.
Movies on Demand 2
chosen
Movies on Demand 2 is a work associated with the band Consequence, likely serving as a sequel or follow-up installment in their creative output.
-
B.
Movies on Demand
Movies on Demand is a film or video project associated with the band Consequence, likely serving as a notable visual or multimedia extension of their music.
-
C.
Google Play Movies & TV
Google Play Movies & TV was Google’s digital service for buying, renting, and streaming movies and television shows across Android, web, and compatible devices.
-
D.
Plex
Plex is a media server and streaming platform that lets users organize, stream, and access their personal and online media libraries across various devices.
-
E.
Netflix
Netflix is a global streaming entertainment company best known for its vast library of films and TV series and its influential original content.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622ca9bc8190b99e90295cb01646 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6096584c81909ce50469f23a8a12 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.