Triple

T6004475
Position Surface form Disambiguated ID Type / Status
Subject Liggett & Myers E133676 entity
Predicate notableBrand P1500 FINISHED
Object Lark
Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
 E561067 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: [Liggett & Myers, notableBrand, Lark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lark
Context triple: [Liggett & Myers, notableBrand, Lark]
  • 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. Skylark
    "Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
  • C. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • D. Kestrel
    Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
  • E. Sparrow
    Sparrow is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her involvement in the strip’s interconnected lesbian and queer community.
  • 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: [Liggett & Myers, notableBrand, Lark]
Generated description
Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lark
Target entity description: Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
  • 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. Skylark
    "Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
  • C. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • D. Kestrel
    Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
  • E. Sparrow
    Sparrow is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her involvement in the strip’s interconnected lesbian and queer community.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f10d18081908c351170b7f58d3d completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1088f5c84819094e4696c24c4dd79 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c1099f00f88190a5f1f0fafbb679c2 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10a2ffdcc8190bfeebc59d98b2b29 completed March 23, 2026, 9:38 a.m.
Created at: March 22, 2026, 4:06 p.m.