Triple

T7747558
Position Surface form Disambiguated ID Type / Status
Subject Paramount Domestic Television E175668 entity
Predicate distributed P8091 FINISHED
Object Becker
Becker is an American sitcom starring Ted Danson as a gruff but caring Bronx doctor, which aired on CBS from 1998 to 2004.
 E686162 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: [Paramount Domestic Television, distributed, Becker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Becker
Context triple: [Paramount Domestic Television, distributed, 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. Baer
    Baer is a surname most notably associated with American actor and boxer Max Baer Sr.
  • D. Beckmann
    Beckmann is a German surname most famously associated with the Expressionist painter Max Beckmann.
  • E. Becks
    Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
  • 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: [Paramount Domestic Television, distributed, Becker]
Generated description
Becker is an American sitcom starring Ted Danson as a gruff but caring Bronx doctor, which aired on CBS from 1998 to 2004.
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 gruff but caring Bronx doctor, which aired on CBS from 1998 to 2004.
  • 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. Baer
    Baer is a surname most notably associated with American actor and boxer Max Baer Sr.
  • D. Beckmann
    Beckmann is a German surname most famously associated with the Expressionist painter Max Beckmann.
  • E. Becks
    Becks is a popular German beer brand, formally known as Beck's, recognized worldwide for its pilsner-style lager.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7038caa64819084f61b42a73c2d8b completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be50ac4881909b537f513bed2edd completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bf9e93bc8190a4764967c06de4af completed March 29, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69c8c01bf3f08190a0071eff2c412e6e completed March 29, 2026, 6:01 a.m.
Created at: March 27, 2026, 4:08 p.m.