Triple

T2250200
Position Surface form Disambiguated ID Type / Status
Subject Crispin Bonham-Carter E49598 entity
Predicate appearedIn P795 FINISHED
Object Honey for Tea
Honey for Tea is a British television series featuring actor Crispin Bonham-Carter among its cast.
 E247510 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: Honey for Tea | Statement: [Crispin Bonham-Carter, appearedIn, Honey for Tea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Honey for Tea
Context triple: [Crispin Bonham-Carter, appearedIn, Honey for Tea]
  • A. Wild Honey
    "Wild Honey" is a song by the Irish rock band U2 from their 2000 album *All That You Can’t Leave Behind*.
  • B. Honey
    "Honey" is a song that served as the lead single for the musical act Butterfly.
  • C. Honey
    Honey is a popular online shopping tool and browser extension that automatically finds and applies coupon codes to help users save money.
  • D. The Tea
    The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
  • E. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • 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: Honey for Tea
Triple: [Crispin Bonham-Carter, appearedIn, Honey for Tea]
Generated description
Honey for Tea is a British television series featuring actor Crispin Bonham-Carter among its cast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Honey for Tea
Target entity description: Honey for Tea is a British television series featuring actor Crispin Bonham-Carter among its cast.
  • A. Wild Honey
    "Wild Honey" is a song by the Irish rock band U2 from their 2000 album *All That You Can’t Leave Behind*.
  • B. Honey
    "Honey" is a song that served as the lead single for the musical act Butterfly.
  • C. Honey
    Honey is a popular online shopping tool and browser extension that automatically finds and applies coupon codes to help users save money.
  • D. The Tea
    The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
  • E. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11b61888190af3b11b87dc8e0dc completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1948cc8190921b9fcc12c28db0 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6b73bb688190bcade17d991c4862 completed March 9, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69ae6be4431c81909c9b4ad82226215d completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:47 p.m.