Triple

T14959009
Position Surface form Disambiguated ID Type / Status
Subject Pam Dawber E373010 entity
Predicate familyName P18 FINISHED
Object Dawber
Dawber is a surname most notably associated with American actress Pam Dawber, known for her role in the television series "Mork & Mindy."
E1128931 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: Dawber | Statement: [Pam Dawber, familyName, Dawber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawber
Context triple: [Pam Dawber, familyName, Dawber]
  • A. Dawsen
    Dawsen is a given name and surname, typically considered a modern or variant spelling of Dawson.
  • B. Daudley
    Daudley is a surname variant historically associated with the English Audley family.
  • C. Drewer
    Drewer is a village-level district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • D. Daughtrey
    Daughtrey is a surname most notably associated with Martha Craig Daughtrey, an American judge who served on the U.S. Court of Appeals for the Sixth Circuit.
  • E. Dorrel
    Dorrel is the given first name of Whitey Herzog, the Hall of Fame Major League Baseball manager and former outfielder.
  • 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: Dawber
Triple: [Pam Dawber, familyName, Dawber]
Generated description
Dawber is a surname most notably associated with American actress Pam Dawber, known for her role in the television series "Mork & Mindy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dawber
Target entity description: Dawber is a surname most notably associated with American actress Pam Dawber, known for her role in the television series "Mork & Mindy."
  • A. Dawsen
    Dawsen is a given name and surname, typically considered a modern or variant spelling of Dawson.
  • B. Daudley
    Daudley is a surname variant historically associated with the English Audley family.
  • C. Drewer
    Drewer is a village-level district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • D. Daughtrey
    Daughtrey is a surname most notably associated with Martha Craig Daughtrey, an American judge who served on the U.S. Court of Appeals for the Sixth Circuit.
  • E. Dorrel
    Dorrel is the given first name of Whitey Herzog, the Hall of Fame Major League Baseball manager and former outfielder.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7ea1d78c81909b877fda05ef9231 completed May 9, 2026, 12:24 a.m.
NEDg Description generation batch_69fe7ff5c84c8190b3e97f09633bf181 completed May 9, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69fe80be100481908dcf07b683fc1411 completed May 9, 2026, 12:33 a.m.
Created at: April 10, 2026, 2:40 a.m.