Triple

T8439493
Position Surface form Disambiguated ID Type / Status
Subject Robert Urich E199313 entity
Predicate familyName P18 FINISHED
Object Urich
Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
E733477 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: Urich | Statement: [Robert Urich, familyName, Urich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urich
Context triple: [Robert Urich, familyName, Urich]
  • A. Burkhard
    Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
  • B. Ulrich
    Ulrich is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by nobles, scholars, and religious figures.
  • C. Ulrych
    Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
  • D. Dalstroi
    Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
  • E. Felix Krull
    Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
  • 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: Urich
Triple: [Robert Urich, familyName, Urich]
Generated description
Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Urich
Target entity description: Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
  • A. Burkhard
    Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
  • B. Ulrich
    Ulrich is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by nobles, scholars, and religious figures.
  • C. Ulrych
    Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
  • D. Dalstroi
    Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
  • E. Felix Krull
    Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13708988190a534e38d8254c9bd completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f12e1a081909d28b06c520353ef completed April 2, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fb498448190a2737b8895f6bb48 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:08 p.m.