Triple
T4063788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8MM |
E86275
|
entity |
| Predicate | hasSequel |
P1961
|
FINISHED |
| Object |
8MM 2
8MM 2 is a direct-to-video crime thriller film that continues the dark, investigative themes of the original 8MM with a new cast and storyline.
|
E410047
|
NE FINISHED |
How this triple was built (4 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: 8MM 2 | Statement: [8MM, hasSequel, 8MM 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 8MM 2 Context triple: [8MM, hasSequel, 8MM 2]
-
A.
8MM
8MM is a 1999 neo-noir crime thriller film starring Nicolas Cage as a private investigator drawn into the dark underworld of illegal pornography.
-
B.
MM38
MM38 is a ship-launched variant of the French-made Exocet anti-ship missile, designed for engaging surface vessels at sea.
-
C.
MC88200
The MC88200 is a Motorola 88000-family memory management and cache controller chip designed to work alongside 88k RISC processors in high-performance systems.
-
D.
RMM1
RMM1 is one of the primary Real-time Multivariate MJO index components used to quantify and track the phase and amplitude of the Madden–Julian Oscillation in atmospheric observations and forecasts.
-
E.
MM
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 8MM 2 Triple: [8MM, hasSequel, 8MM 2]
Generated description
8MM 2 is a direct-to-video crime thriller film that continues the dark, investigative themes of the original 8MM with a new cast and storyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 8MM 2 Target entity description: 8MM 2 is a direct-to-video crime thriller film that continues the dark, investigative themes of the original 8MM with a new cast and storyline.
-
A.
8MM
8MM is a 1999 neo-noir crime thriller film starring Nicolas Cage as a private investigator drawn into the dark underworld of illegal pornography.
-
B.
MM38
MM38 is a ship-launched variant of the French-made Exocet anti-ship missile, designed for engaging surface vessels at sea.
-
C.
MC88200
The MC88200 is a Motorola 88000-family memory management and cache controller chip designed to work alongside 88k RISC processors in high-performance systems.
-
D.
RMM1
RMM1 is one of the primary Real-time Multivariate MJO index components used to quantify and track the phase and amplitude of the Madden–Julian Oscillation in atmospheric observations and forecasts.
-
E.
MM
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
- F. None of above. chosen
Provenance (5 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd7896c81909c61ed0d910d9c5f |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562ae949c819092affaaca97c16d1 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5633103e081909dbe7a7e54877343 |
completed | March 14, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563eca17c81908deff0d361a7be87 |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:38 p.m.