Triple

T18078521
Position Surface form Disambiguated ID Type / Status
Subject David Raksin E432623 entity
Predicate familyName P18 FINISHED
Object Raksin
Raksin is a surname most notably associated with American film composer David Raksin, known for his influential work in Hollywood cinema.
 E1303495 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: Raksin | Statement: [David Raksin, familyName, Raksin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raksin
Context triple: [David Raksin, familyName, Raksin]
  • A. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • B. Tanakia
    Tanakia is a genus of small freshwater bitterling fishes native to East Asia, known for their unique reproductive behavior involving the use of bivalve mollusks as hosts for their eggs.
  • C. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • D. Rakau
    Rakau is a small rural settlement in Belarus located near the historical hill of Dziaržynskaja Hara, the country’s highest point.
  • E. Raka
    Raka is an individual known primarily through their personal relationship with Koki.
  • 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: Raksin
Triple: [David Raksin, familyName, Raksin]
Generated description
Raksin is a surname most notably associated with American film composer David Raksin, known for his influential work in Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raksin
Target entity description: Raksin is a surname most notably associated with American film composer David Raksin, known for his influential work in Hollywood cinema.
  • A. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • B. Tanakia
    Tanakia is a genus of small freshwater bitterling fishes native to East Asia, known for their unique reproductive behavior involving the use of bivalve mollusks as hosts for their eggs.
  • C. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • D. Rakau
    Rakau is a small rural settlement in Belarus located near the historical hill of Dziaržynskaja Hara, the country’s highest point.
  • E. Raka
    Raka is an individual known primarily through their personal relationship with Koki.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f6a85481909894c39c8be98d5d completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03567c2ad4819093ae01a4faff71a4 completed May 12, 2026, 4:34 p.m.
NEDg Description generation batch_6a035755e4008190ac7bb3a958ff3776 completed May 12, 2026, 4:37 p.m.
NED2 Entity disambiguation (via description) batch_6a0357ce74088190a6a343cb0c76dce4 completed May 12, 2026, 4:39 p.m.
Created at: April 10, 2026, 10:27 a.m.