Triple

T11721571
Position Surface form Disambiguated ID Type / Status
Subject Rhubarb Red E278644 entity
Predicate alsoKnownAs P39 FINISHED
Object Red Hot Red
Red Hot Red is an alternative name for the color Rhubarb Red, a vivid, reddish hue reminiscent of ripe rhubarb stalks.
 E942857 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: Red Hot Red | Statement: [Rhubarb Red, alsoKnownAs, Red Hot Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Hot Red
Context triple: [Rhubarb Red, alsoKnownAs, Red Hot Red]
  • A. Red Hot
    "Red Hot" is a 1993 drama film set in Soviet-era Latvia, following a group of young musicians who risk severe punishment to secretly play Western rock music.
  • B. Red Red Red
    "Red Red Red" is a song by American singer-songwriter Fiona Apple from her critically acclaimed album "Extraordinary Machine."
  • C. Red (song)
    "Red" is a song by American singer-songwriter Taylor Swift from her 2012 album of the same name, noted for its vivid metaphors about heartbreak and emotional turbulence.
  • D. Red, Hot and Blue
    Red, Hot and Blue is a 1936 Broadway musical comedy with music and lyrics by Cole Porter, known for its witty songs and star-studded original cast.
  • E. Hot Hot Hot
    "Hot Hot Hot" is a song best known as the B-side to the English post-punk band The Cure’s single "The Walk."
  • 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: Red Hot Red
Triple: [Rhubarb Red, alsoKnownAs, Red Hot Red]
Generated description
Red Hot Red is an alternative name for the color Rhubarb Red, a vivid, reddish hue reminiscent of ripe rhubarb stalks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Red Hot Red
Target entity description: Red Hot Red is an alternative name for the color Rhubarb Red, a vivid, reddish hue reminiscent of ripe rhubarb stalks.
  • A. Red Hot
    "Red Hot" is a 1993 drama film set in Soviet-era Latvia, following a group of young musicians who risk severe punishment to secretly play Western rock music.
  • B. Red Red Red
    "Red Red Red" is a song by American singer-songwriter Fiona Apple from her critically acclaimed album "Extraordinary Machine."
  • C. Red (song)
    "Red" is a song by American singer-songwriter Taylor Swift from her 2012 album of the same name, noted for its vivid metaphors about heartbreak and emotional turbulence.
  • D. Red, Hot and Blue
    Red, Hot and Blue is a 1936 Broadway musical comedy with music and lyrics by Cole Porter, known for its witty songs and star-studded original cast.
  • E. Hot Hot Hot
    "Hot Hot Hot" is a song best known as the B-side to the English post-punk band The Cure’s single "The Walk."
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c373088190bc2ae77a1696d280 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83c8ac2c8190b3bba7db42734f3a completed April 27, 2026, 3:42 p.m.
NEDg Description generation batch_69ef96b13be881908102ffa867f96c22 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb51113708190998b570c33b9d0e7 completed April 27, 2026, 7:12 p.m.
Created at: April 8, 2026, 9:40 p.m.