Triple

T18534788
Position Surface form Disambiguated ID Type / Status
Subject Hugh A. Robertson E452934 entity
Predicate notableWork P4 FINISHED
Object Melinda
Melinda is a film best known as a significant work by American film editor and director Hugh A. Robertson.
 E1330395 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: Melinda | Statement: [Hugh A. Robertson, notableWork, Melinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melinda
Context triple: [Hugh A. Robertson, notableWork, Melinda]
  • A. Melinda
    Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
  • B. Melinda
    Melinda is a young, impressionable girl in the play "Inherit the Wind," serving as a minor character who reflects the town’s attitudes during the famous trial.
  • C. Melinda
    "Melinda" is a musical number from the stage and film musical *On a Clear Day You Can See Forever*, known for its romantic, melodic style.
  • D. Melinda
    Melinda is a central female character in George Farquhar’s Restoration comedy "The Recruiting Officer," known for her wit, independence, and role in the play’s romantic intrigues.
  • E. Melinda
    Melinda is a feminine given name of Greek origin, commonly used in English-speaking countries.
  • 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: Melinda
Triple: [Hugh A. Robertson, notableWork, Melinda]
Generated description
Melinda is a film best known as a significant work by American film editor and director Hugh A. Robertson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melinda
Target entity description: Melinda is a film best known as a significant work by American film editor and director Hugh A. Robertson.
  • A. Melinda chosen
    Melinda is a 1972 American blaxploitation crime drama film notable for its blend of mystery, romance, and urban grit.
  • B. Melinda
    Melinda is a central female character in George Farquhar’s Restoration comedy "The Recruiting Officer," known for her wit, independence, and role in the play’s romantic intrigues.
  • C. Melinda
    Melinda is a feminine given name of Greek origin, commonly used in English-speaking countries.
  • D. Melinda
    Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
  • E. Melinda
    Melinda is a young, impressionable girl in the play "Inherit the Wind," serving as a minor character who reflects the town’s attitudes during the famous trial.
  • F. None of above.

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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53400d548819080b17f30b3ee7174 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f87e9584819099c33521d0614168 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9122bec81908614429d65b3d0fc completed May 13, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a04fa53d96881909bebf2aaea89af0f completed May 13, 2026, 10:25 p.m.
Created at: April 10, 2026, 11:37 a.m.