Triple

T3108455
Position Surface form Disambiguated ID Type / Status
Subject Anders Randolf E64891 entity
Predicate familyName P18 FINISHED
Object Randolf
Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
 E326948 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: Randolf | Statement: [Anders Randolf, familyName, Randolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Randolf
Context triple: [Anders Randolf, familyName, Randolf]
  • A. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • B. Everard
    Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
  • C. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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: Randolf
Triple: [Anders Randolf, familyName, Randolf]
Generated description
Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Randolf
Target entity description: Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
  • A. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • B. Everard
    Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
  • C. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29eacc88190a19c5ca8e53e3dca completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2038c89248190b880108c82ad35b1 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2046f76488190adef6685544b080e completed March 12, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69b2054bca388190ad40b2303ac96373 completed March 12, 2026, 12:14 a.m.
Created at: March 8, 2026, 3:04 p.m.