Triple

T18534787
Position Surface form Disambiguated ID Type / Status
Subject Hugh A. Robertson E452934 entity
Predicate directed P7373 FINISHED
Object Melinda
Melinda is a 1972 American blaxploitation crime drama film notable for its blend of mystery, romance, and urban grit.
 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, directed, Melinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melinda
Context triple: [Hugh A. Robertson, directed, 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 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.
  • D. Melinda
    Melinda is a feminine given name of Greek origin, commonly used in English-speaking countries.
  • E. 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.
  • 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, directed, Melinda]
Generated description
Melinda is a 1972 American blaxploitation crime drama film notable for its blend of mystery, romance, and urban grit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melinda
Target entity description: Melinda is a 1972 American blaxploitation crime drama film notable for its blend of mystery, romance, and urban grit.
  • 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

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_6a049ad81eb88190a2b0b57faa622e46 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049c86bd748190a10f6f720cc4c9eb completed May 13, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_6a049e9f82d48190b375adef9fbfd1bd completed May 13, 2026, 3:54 p.m.
Created at: April 10, 2026, 11:37 a.m.