Triple

T37163901
Position Surface form Disambiguated ID Type / Status
Subject VobSub E920744 entity
Predicate commonlyUsedWithTool P120710 FINISHED
Object VirtualDub
VirtualDub is a free, open-source video capture and processing utility for Windows, widely used for simple editing, filtering, and encoding tasks.
 E2215334 NE FINISHED

How this triple was built (3 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: VirtualDub | Statement: [VobSub, commonlyUsedWithTool, VirtualDub]
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: VirtualDub
Triple: [VobSub, commonlyUsedWithTool, VirtualDub]
Generated description
VirtualDub is a free, open-source video capture and processing utility for Windows, widely used for simple editing, filtering, and encoding tasks.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: commonlyUsedWithTool
Context triple: [VobSub, commonlyUsedWithTool, VirtualDub]
  • A. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • B. usesToolFor
    Indicates that an agent employs a specific tool to carry out or facilitate a particular action or purpose.
  • C. usedByTool
    Indicates that a particular tool is employed or operated by a specified agent or entity.
  • D. usedInCollaborationWith
    Indicates that an entity is employed, applied, or utilized together with another entity as part of a joint or cooperative activity.
  • E. notablyUsedWith chosen
    Indicates that one entity is commonly or prominently used together with another entity, in a way that is especially characteristic or noteworthy.
  • F. None of above.

Provenance (6 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_69f76ea0429081908c711b55599eac3c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff32b88bf48190b45afd1b60cb511c completed May 9, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a402bba279c81908800321a32b6f2c5 completed June 27, 2026, 7:59 p.m.
NEDg Description generation batch_6a402c6811ec8190826d548b0cb3e067 completed June 27, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a402e1aa0f48190aab13b1e22d78014 completed June 27, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69ff3031e18881908927b2ab452de863 completed May 9, 2026, 1:01 p.m.
Created at: May 3, 2026, 4:15 p.m.