Triple

T4161774
Position Surface form Disambiguated ID Type / Status
Subject Helmet E91547 entity
Predicate notableWork P4 FINISHED
Object Betty
"Betty" is a notable work by the artist Helmet, recognized as part of their influential contribution to alternative metal music.
E416612 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: Betty | Statement: [Helmet, notableWork, Betty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty
Context triple: [Helmet, notableWork, Betty]
  • A. Betty
    Betty is the familiar nickname of Betty Ford, the former First Lady of the United States and founder of the Betty Ford Center for substance abuse treatment.
  • B. Betty
    Betty is a feminine given name, often a diminutive of Elizabeth, that has been widely used in English-speaking countries.
  • C. Betty
    Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
  • D. Betty
    Betty is a minor character in Enid Blyton’s "Malory Towers" series, known as a lively and mischievous schoolgirl at the boarding school.
  • E. Betty
    "Betty" is a renowned photorealistic painting by German artist Gerhard Richter, depicting his daughter turning away from the viewer and exemplifying his exploration of perception and representation.
  • 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: Betty
Triple: [Helmet, notableWork, Betty]
Generated description
"Betty" is a notable work by the artist Helmet, recognized as part of their influential contribution to alternative metal music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Betty
Target entity description: "Betty" is a notable work by the artist Helmet, recognized as part of their influential contribution to alternative metal music.
  • A. Betty
    "Betty" is a renowned photorealistic painting by German artist Gerhard Richter, depicting his daughter turning away from the viewer and exemplifying his exploration of perception and representation.
  • B. Betty
    Betty is a feminine given name, often a diminutive of Elizabeth, that has been widely used in English-speaking countries.
  • C. Betty
    Betty is the young, resourceful heroine of the children's story "Betty's Bright Idea," known for her cleverness and problem-solving nature.
  • D. Betty
    Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
  • E. Betty
    Betty is a minor character in Enid Blyton’s "Malory Towers" series, known as a lively and mischievous schoolgirl at the boarding school.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a6b5f48190bdabf988d23f6e97 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f456bf88190b9b8678476ac3803 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57fe89ed0819089d7e56568755b1c completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5805cb7e88190b2f6ed6a18de9319 completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:44 p.m.