Triple

T12171565
Position Surface form Disambiguated ID Type / Status
Subject Robin Givens E289979 entity
Predicate familyName P18 FINISHED
Object Givens
Givens is a surname most notably associated with American actress Robin Givens.
E967214 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: Givens | Statement: [Robin Givens, familyName, Givens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Givens
Context triple: [Robin Givens, familyName, Givens]
  • A. Givet
    Givet is a small fortified town in northeastern France near the Belgian border, known for its strategic location along the Meuse River.
  • B. Donen
    Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
  • C. Among Those Present
    "Among Those Present" is a 1921 silent comedy film starring Harold Lloyd, with Mildred Davis in a prominent role.
  • D. Among People
    Among People is an alternative title for the film "In the World."
  • E. Gewisse
    Gewisse was an early Anglo-Saxon tribal group or dynasty in southern England that formed the core of what later became the kingdom of Wessex.
  • 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: Givens
Triple: [Robin Givens, familyName, Givens]
Generated description
Givens is a surname most notably associated with American actress Robin Givens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Givens
Target entity description: Givens is a surname most notably associated with American actress Robin Givens.
  • A. Givet
    Givet is a small fortified town in northeastern France near the Belgian border, known for its strategic location along the Meuse River.
  • B. Donen
    Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
  • C. Among Those Present
    "Among Those Present" is a 1921 silent comedy film starring Harold Lloyd, with Mildred Davis in a prominent role.
  • D. Among People
    Among People is an alternative title for the film "In the World."
  • E. Gewisse
    Gewisse was an early Anglo-Saxon tribal group or dynasty in southern England that formed the core of what later became the kingdom of Wessex.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a6de3081908e5e0030c081d5a4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f603b639208190a284fcd7e88e9d54 completed May 2, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69f60491eaec8190a16472fd37740ea0 completed May 2, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:50 p.m.