Triple

T9892877
Position Surface form Disambiguated ID Type / Status
Subject ByteDance E181496 entity
Predicate owns P347 FINISHED
Object Lark
Lark is a cloud-based workplace collaboration and productivity platform offering integrated messaging, video conferencing, calendars, and document tools, developed under ByteDance.
 E828492 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: Lark | Statement: [ByteDance, owns, Lark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lark
Context triple: [ByteDance, owns, Lark]
  • A. Lark
    Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
  • B. Lark
    Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
  • C. Skylark
    "Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
  • D. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • E. Kestrel
    Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
  • 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: Lark
Triple: [ByteDance, owns, Lark]
Generated description
Lark is a cloud-based workplace collaboration and productivity platform offering integrated messaging, video conferencing, calendars, and document tools, developed under ByteDance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lark
Target entity description: Lark is a cloud-based workplace collaboration and productivity platform offering integrated messaging, video conferencing, calendars, and document tools, developed under ByteDance.
  • A. Lark
    Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
  • B. Lark
    Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
  • C. Skylark
    "Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
  • D. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • E. Kestrel
    Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4814a3c8190ab1fd7f755a44508 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb0d984c81908408f90f156624e5 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1edaceb608190a75e738a34c6d16f completed April 5, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69d1ee5b837c8190b294a78cebf141ae completed April 5, 2026, 5:08 a.m.
Created at: March 30, 2026, 8:39 p.m.