Triple

T6382048
Position Surface form Disambiguated ID Type / Status
Subject Robert Dalva E143605 entity
Predicate familyName P18 FINISHED
Object Dalva
Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
 E588806 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: Dalva | Statement: [Robert Dalva, familyName, Dalva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dalva
Context triple: [Robert Dalva, familyName, Dalva]
  • A. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • B. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • C. Relva
    Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • D. Danja
    Danja is an American record producer and songwriter known for his work on numerous pop and hip-hop hits alongside artists like Justin Timberlake and Nelly Furtado.
  • E. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • 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: Dalva
Triple: [Robert Dalva, familyName, Dalva]
Generated description
Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dalva
Target entity description: Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • A. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • B. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • C. Relva
    Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • D. Danja
    Danja is an American record producer and songwriter known for his work on numerous pop and hip-hop hits alongside artists like Justin Timberlake and Nelly Furtado.
  • E. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685385948190938b67bff671072b completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62db397f48190bc4533ce26b27a55 completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c62f1923408190996ba6dbb5bab651 completed March 27, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69c62f9797188190afb5313176e34864 completed March 27, 2026, 7:19 a.m.
Created at: March 22, 2026, 4:34 p.m.