Triple

T3567101
Position Surface form Disambiguated ID Type / Status
Subject Ted Danson E75475 entity
Predicate notableWork P4 FINISHED
Object Becker
Becker is an American sitcom starring Ted Danson as a cynical Bronx doctor, known for its sharp humor and character-driven storytelling.
 E115890 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: Becker | Statement: [Ted Danson, notableWork, Becker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Becker
Context triple: [Ted Danson, notableWork, Becker]
  • A. Becker
    Becker is a surname of German origin, commonly associated with individuals in German-speaking countries and their descendants worldwide.
  • B. Bek
    Bek is a short or informal given name, typically used as a diminutive of Rebekah.
  • C. Beckmann
    Beckmann is a German surname most famously associated with the Expressionist painter Max Beckmann.
  • D. Becks
    Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
  • E. Beenieman
    Beenieman is a prominent Jamaican dancehall deejay and reggae artist often referred to as the "King of Dancehall."
  • 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: Becker
Triple: [Ted Danson, notableWork, Becker]
Generated description
Becker is an American sitcom starring Ted Danson as a cynical Bronx doctor, known for its sharp humor and character-driven storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Becker
Target entity description: Becker is an American sitcom starring Ted Danson as a cynical Bronx doctor, known for its sharp humor and character-driven storytelling.
  • A. Becker chosen
    Becker is a surname of German origin, commonly associated with individuals in German-speaking countries and their descendants worldwide.
  • B. Bek
    Bek is a short or informal given name, typically used as a diminutive of Rebekah.
  • C. Beckmann
    Beckmann is a German surname most famously associated with the Expressionist painter Max Beckmann.
  • D. Becks
    Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
  • E. Beenieman
    Beenieman is a prominent Jamaican dancehall deejay and reggae artist often referred to as the "King of Dancehall."
  • F. None of above.

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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0aa0fcc8190bc99df68d2bd9139 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb01d108190bd098c86b0180b78 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bc2f3c1c8190906e34e8c70287cb completed March 13, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5b2fdcc8190842d2d7bd09c65c4 completed March 13, 2026, 11:32 a.m.
Created at: March 8, 2026, 3:21 p.m.