Triple

T16824948
Position Surface form Disambiguated ID Type / Status
Subject Frank Lovejoy E408994 entity
Predicate notableWork P4 FINISHED
Object The System
"The System" is a 1953 American crime film noir starring Frank Lovejoy as a crusading newspaper columnist battling corruption.
 E1235042 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: The System | Statement: [Frank Lovejoy, notableWork, The System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The System
Context triple: [Frank Lovejoy, notableWork, The System]
  • A. the System
    The System is Konstantin Stanislavski’s influential acting methodology that emphasizes psychological realism, emotional truth, and detailed character preparation.
  • B. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • C. System1
    System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
  • D. System
    System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
  • E. System 4
    System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
  • 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: The System
Triple: [Frank Lovejoy, notableWork, The System]
Generated description
"The System" is a 1953 American crime film noir starring Frank Lovejoy as a crusading newspaper columnist battling corruption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The System
Target entity description: "The System" is a 1953 American crime film noir starring Frank Lovejoy as a crusading newspaper columnist battling corruption.
  • A. the System
    The System is Konstantin Stanislavski’s influential acting methodology that emphasizes psychological realism, emotional truth, and detailed character preparation.
  • B. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • C. System1
    System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
  • D. System
    System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
  • E. System 4
    System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b310ffec81908087e5aaacc4a7c2 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29c170c81908fcc88c31e266ffb completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b3cb7a2c8190a90ed07bc06dfc1b completed May 10, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:23 a.m.