Triple

T9789441
Position Surface form Disambiguated ID Type / Status
Subject Insidious: Chapter 3 E237569 entity
Predicate featuresCharacter P626 FINISHED
Object Specs
Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
E821526 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: Specs | Statement: [Insidious: Chapter 3, featuresCharacter, Specs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Specs
Context triple: [Insidious: Chapter 3, featuresCharacter, Specs]
  • A. Spek
    Spek is a Canadian rapper and producer known for his work in the 1990s and early 2000s underground hip hop scene.
  • B. A-Spec
    A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
  • C. Spektr
    Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
  • D. SPECTRA
    SPECTRA is an advanced integrated electronic warfare and self-protection suite used on modern combat aircraft, notably the Dassault Rafale, to detect, jam, and counter threats.
  • E. StackPower (on some models)
    StackPower (on some Cisco Catalyst switch models) is a power-sharing and redundancy technology that lets multiple switches pool and distribute power dynamically across the stack.
  • 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: Specs
Triple: [Insidious: Chapter 3, featuresCharacter, Specs]
Generated description
Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Specs
Target entity description: Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
  • A. Spek
    Spek is a Canadian rapper and producer known for his work in the 1990s and early 2000s underground hip hop scene.
  • B. A-Spec
    A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
  • C. Spektr
    Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
  • D. SPECTRA
    SPECTRA is an advanced integrated electronic warfare and self-protection suite used on modern combat aircraft, notably the Dassault Rafale, to detect, jam, and counter threats.
  • E. StackPower (on some models)
    StackPower (on some Cisco Catalyst switch models) is a power-sharing and redundancy technology that lets multiple switches pool and distribute power dynamically across the stack.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4eb7a0481908bbd72f6d28d4746 completed April 5, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5c0e6e88190bbf6eb379e6d1aa3 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:27 p.m.