Triple

T6213992
Position Surface form Disambiguated ID Type / Status
Subject Victor Garber E138939 entity
Predicate familyName P18 FINISHED
Object Garber
Garber is a surname most notably associated with Canadian actor and singer Victor Garber, known for his work in film, television, and theater.
 E574761 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: Garber | Statement: [Victor Garber, familyName, Garber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garber
Context triple: [Victor Garber, familyName, Garber]
  • A. Gabbs
    Gabbs is a small, remote town in central Nevada known historically for its mining activities and desert surroundings.
  • B. Nevin
    Nevin is a surname most notably associated with Phil Nevin, a former Major League Baseball player and manager.
  • C. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • D. Egan
    Egan is a surname of Irish origin borne by various notable individuals, including the American novelist Jennifer Egan.
  • E. Gazis
    Gazis is the plural form of "Gazi," a term historically used in Islamic contexts to denote warriors or veterans of religious military campaigns.
  • 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: Garber
Triple: [Victor Garber, familyName, Garber]
Generated description
Garber is a surname most notably associated with Canadian actor and singer Victor Garber, known for his work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garber
Target entity description: Garber is a surname most notably associated with Canadian actor and singer Victor Garber, known for his work in film, television, and theater.
  • A. Gabbs
    Gabbs is a small, remote town in central Nevada known historically for its mining activities and desert surroundings.
  • B. Nevin
    Nevin is a surname most notably associated with Phil Nevin, a former Major League Baseball player and manager.
  • C. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • D. Egan
    Egan is a surname of Irish origin borne by various notable individuals, including the American novelist Jennifer Egan.
  • E. Gazis
    Gazis is the plural form of "Gazi," a term historically used in Islamic contexts to denote warriors or veterans of religious military campaigns.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0629fd3c08190a121097c188417c4 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f61ed708190a034136cc270e9d0 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1bfb484ac8190903efdf4a18f3a1c completed March 23, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69c1c03551008190af5e3427b4cdcd11 completed March 23, 2026, 10:35 p.m.
Created at: March 22, 2026, 4:21 p.m.