Triple

T2854541
Position Surface form Disambiguated ID Type / Status
Subject Bret Harte E63169 entity
Predicate givenName P17 FINISHED
Object Bret
Bret is a masculine given name most notably associated with American author and poet Bret Harte.
 E305287 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: Bret | Statement: [Bret Harte, givenName, Bret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bret
Context triple: [Bret Harte, givenName, Bret]
  • A. Brett
    Brett is the given name of Brett M. Kavanaugh, an Associate Justice of the United States Supreme Court.
  • B. Garrett
    Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
  • C. Kurt Buckman
    Kurt Buckman is one of the three beleaguered friends in the dark comedy film "Horrible Bosses," known for plotting to kill his abusive employer alongside his equally frustrated coworkers.
  • D. Brock
    Brock is a surname most notably associated with figures such as Isaac Brock, a British Army officer and colonial administrator famed for his leadership in the War of 1812.
  • E. Isaiah Bowman
    Isaiah Bowman was an influential American geographer and long-time director of the American Geographical Society, known for advising U.S. foreign policy and territorial decisions in the early 20th century.
  • 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: Bret
Triple: [Bret Harte, givenName, Bret]
Generated description
Bret is a masculine given name most notably associated with American author and poet Bret Harte.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bret
Target entity description: Bret is a masculine given name most notably associated with American author and poet Bret Harte.
  • A. Brett
    Brett is the given name of Brett M. Kavanaugh, an Associate Justice of the United States Supreme Court.
  • B. Garrett
    Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
  • C. Kurt Buckman
    Kurt Buckman is one of the three beleaguered friends in the dark comedy film "Horrible Bosses," known for plotting to kill his abusive employer alongside his equally frustrated coworkers.
  • D. Brock
    Brock is a surname most notably associated with figures such as Isaac Brock, a British Army officer and colonial administrator famed for his leadership in the War of 1812.
  • E. Isaiah Bowman
    Isaiah Bowman was an influential American geographer and long-time director of the American Geographical Society, known for advising U.S. foreign policy and territorial decisions in the early 20th century.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8774cc8190aa6ed40b26c4a568 completed March 10, 2026, 1:32 p.m.
NEDg Description generation batch_69b01ea4e3a481909241383e2c4093d8 completed March 10, 2026, 1:37 p.m.
NED2 Entity disambiguation (via description) batch_69b01f1a9ac48190b8d2b5247cb2c3d8 completed March 10, 2026, 1:39 p.m.
Created at: March 6, 2026, 10:02 p.m.