Triple

T14589166
Position Surface form Disambiguated ID Type / Status
Subject Carry On Dick E342398 entity
Predicate character P662 FINISHED
Object Harriet
Harriet is a fictional character from the British comedy film "Carry On Dick," part of the long-running "Carry On" series.
E1107733 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: Harriet | Statement: [Carry On Dick, character, Harriet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harriet
Context triple: [Carry On Dick, character, Harriet]
  • A. Harriet
    Harriet is the given name of Harriet Beecher Stowe, the 19th-century American author best known for writing the anti-slavery novel "Uncle Tom's Cabin."
  • B. Harriet
    Harriet is a biographical drama film about the life and heroism of abolitionist Harriet Tubman.
  • C. Harriet
    Harriet is an American indie rock band known for its melodic songwriting and emotionally resonant lyrics.
  • D. Harriet
    Harriet is a feminine given name of English origin that has been widely used in English-speaking countries since at least the 18th century.
  • E. Harriet
    Harriet is a character in the romantic comedy film "Love Actually," known as the American assistant who becomes the love interest of Colin Frissell.
  • 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: Harriet
Triple: [Carry On Dick, character, Harriet]
Generated description
Harriet is a fictional character from the British comedy film "Carry On Dick," part of the long-running "Carry On" series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harriet
Target entity description: Harriet is a fictional character from the British comedy film "Carry On Dick," part of the long-running "Carry On" series.
  • A. Harriet
    Harriet is a character in the romantic comedy film "Love Actually," known as the American assistant who becomes the love interest of Colin Frissell.
  • B. Harriet
    Harriet is a biographical drama film about the life and heroism of abolitionist Harriet Tubman.
  • C. Harriet
    Harriet is a feminine given name of English origin that has been widely used in English-speaking countries since at least the 18th century.
  • D. Harriet
    Harriet is the given name of Harriet Beecher Stowe, the 19th-century American author best known for writing the anti-slavery novel "Uncle Tom's Cabin."
  • E. Harriet
    Harriet is an American indie rock band known for its melodic songwriting and emotionally resonant lyrics.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c1768881909eebb0dae15ac964 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd95e381948190b162cdd61b4dc353 completed May 8, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd96b9728081909404c21370bde85b completed May 8, 2026, 7:54 a.m.
Created at: April 10, 2026, 1:24 a.m.