Triple

T726650
Position Surface form Disambiguated ID Type / Status
Subject Andrew Kevin Walker E14739 entity
Predicate notableWork P4 FINISHED
Object 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.
 E86275 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 | Statement: [Andrew Kevin Walker, notableWork, 8MM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 8MM
Context triple: [Andrew Kevin Walker, notableWork, 8MM]
  • A. M8
    M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
  • B. BB-63
    BB-63 is the hull number of USS Missouri, a famous Iowa-class battleship best known as the site of Japan’s formal surrender in World War II.
  • C. BB-36
    BB-36 is the hull classification symbol for USS Nevada, a U.S. Navy battleship notable for its service during both World Wars and survival of the Pearl Harbor attack.
  • D. BB-38
    BB-38 is the hull number of USS Pennsylvania, a Pennsylvania-class battleship of the United States Navy that served prominently during both World Wars.
  • E. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • 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
Triple: [Andrew Kevin Walker, notableWork, 8MM]
Generated description
8MM is a 1999 neo-noir crime thriller film starring Nicolas Cage as a private investigator drawn into the dark underworld of illegal pornography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 8MM
Target entity description: 8MM is a 1999 neo-noir crime thriller film starring Nicolas Cage as a private investigator drawn into the dark underworld of illegal pornography.
  • A. M8
    M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
  • B. BB-63
    BB-63 is the hull number of USS Missouri, a famous Iowa-class battleship best known as the site of Japan’s formal surrender in World War II.
  • C. BB-36
    BB-36 is the hull classification symbol for USS Nevada, a U.S. Navy battleship notable for its service during both World Wars and survival of the Pearl Harbor attack.
  • D. BB-38
    BB-38 is the hull number of USS Pennsylvania, a Pennsylvania-class battleship of the United States Navy that served prominently during both World Wars.
  • E. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a9adf08190bf2baade7e2e1c1c completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375e24248190b53efa0bfc29567a completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63b580b3c81909fe2ba1b0aa958b6 completed March 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69a63bbb8e9881909d5ab68c4a47eb5c completed March 3, 2026, 1:39 a.m.
Created at: March 1, 2026, 7:37 p.m.