Triple

T4390361
Position Surface form Disambiguated ID Type / Status
Subject Bob Barker E99346 entity
Predicate familyName P18 FINISHED
Object Barker
Barker is a surname most famously associated with Bob Barker, the longtime host of the American television game show "The Price Is Right."
 E435955 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: Barker | Statement: [Bob Barker, familyName, Barker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barker
Context triple: [Bob Barker, familyName, Barker]
  • A. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • B. Barnes
    Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
  • C. Barnes
    Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
  • D. Barkly
    Barkly is a vast electoral division in Australia's Northern Territory, encompassing remote outback communities and pastoral regions including the Tennant Creek area.
  • E. La Baker
    La Baker is the nickname of Josephine Baker, the iconic American-born French entertainer, civil rights activist, and World War II resistance agent.
  • 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: Barker
Triple: [Bob Barker, familyName, Barker]
Generated description
Barker is a surname most famously associated with Bob Barker, the longtime host of the American television game show "The Price Is Right."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barker
Target entity description: Barker is a surname most famously associated with Bob Barker, the longtime host of the American television game show "The Price Is Right."
  • A. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • B. Barnes
    Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
  • C. Barnes
    Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
  • D. Barkly
    Barkly is a vast electoral division in Australia's Northern Territory, encompassing remote outback communities and pastoral regions including the Tennant Creek area.
  • E. La Baker
    La Baker is the nickname of Josephine Baker, the iconic American-born French entertainer, civil rights activist, and World War II resistance agent.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35282cb2c8190856da20bb87e88ff completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e52d63c08190bc98c090cfe0ff1c completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e5b3ba208190b6cb5e40f9e744e8 completed March 14, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5e62af694819086b3eddb71f591d2 completed March 14, 2026, 10:50 p.m.
Created at: March 12, 2026, 11:19 p.m.