Triple

T14343366
Position Surface form Disambiguated ID Type / Status
Subject ScalaTest E355655 entity
Predicate supportsTestingStyle P93450 FINISHED
Object FunSpec
FunSpec is a ScalaTest testing style that lets you write behavior-driven tests in a nested, descriptive "specification" format.
 E1094377 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: FunSpec | Statement: [ScalaTest, supportsTestingStyle, FunSpec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FunSpec
Context triple: [ScalaTest, supportsTestingStyle, FunSpec]
  • A. Specs
    Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
  • B. Spek
    Spek is a Canadian rapper and producer known for his work in the 1990s and early 2000s underground hip hop scene.
  • C. A-Spec
    A-Spec is the primary single-player driving mode in the Gran Turismo series where players directly control cars in races and events.
  • D. 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.
  • E. B-Spec
    B-Spec is a driving management mode in the Gran Turismo series where players act as race directors, issuing commands to AI drivers instead of directly controlling the cars.
  • 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: FunSpec
Triple: [ScalaTest, supportsTestingStyle, FunSpec]
Generated description
FunSpec is a ScalaTest testing style that lets you write behavior-driven tests in a nested, descriptive "specification" format.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FunSpec
Target entity description: FunSpec is a ScalaTest testing style that lets you write behavior-driven tests in a nested, descriptive "specification" format.
  • A. Specs
    Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
  • B. Spek
    Spek is a Canadian rapper and producer known for his work in the 1990s and early 2000s underground hip hop scene.
  • C. A-Spec
    A-Spec is the primary single-player driving mode in the Gran Turismo series where players directly control cars in races and events.
  • D. 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.
  • E. B-Spec
    B-Spec is a driving management mode in the Gran Turismo series where players act as race directors, issuing commands to AI drivers instead of directly controlling the cars.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e89ed9c8190acdb647ee618e919 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469d899081909103563f209dd944 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47fa764c8190b1d691f5847b7a05 completed May 8, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69fd492226888190a014b23e506ab19c completed May 8, 2026, 2:23 a.m.
Created at: April 10, 2026, 1:14 a.m.