Triple

T8085431
Position Surface form Disambiguated ID Type / Status
Subject Alex Cross series E188719 entity
Predicate hasPart P35 FINISHED
Object Violets Are Blue
Violets Are Blue is a crime thriller novel in James Patterson’s Alex Cross series, following the detective’s pursuit of a gruesome, vampire-themed serial killer.
 E711650 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: Violets Are Blue | Statement: [Alex Cross series, hasPart, Violets Are Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Violets Are Blue
Context triple: [Alex Cross series, hasPart, Violets Are Blue]
  • A. Violets
    Violets are the athletic teams representing New York University in intercollegiate sports.
  • B. Girl Blue
    "Girl Blue" is a soulful, jazz-inflected R&B song by Stevie Wonder from his acclaimed 1972 album *Music of My Mind*.
  • C. Baby Blue
    Baby Blue is a country music song by Australian singer Jimmy Little, recognized as one of his signature recordings.
  • D. The Moon Is Blue
    The Moon Is Blue is a 1953 romantic comedy film, directed by Otto Preminger and noted for its then-controversial sexual frankness and witty dialogue.
  • E. Luv Ya Blue
    Luv Ya Blue was the popular rallying cry and fan movement surrounding the late-1970s Houston Oilers teams, symbolizing the city’s passionate support and distinctive football culture.
  • 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: Violets Are Blue
Triple: [Alex Cross series, hasPart, Violets Are Blue]
Generated description
Violets Are Blue is a crime thriller novel in James Patterson’s Alex Cross series, following the detective’s pursuit of a gruesome, vampire-themed serial killer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Violets Are Blue
Target entity description: Violets Are Blue is a crime thriller novel in James Patterson’s Alex Cross series, following the detective’s pursuit of a gruesome, vampire-themed serial killer.
  • A. Violets
    Violets are the athletic teams representing New York University in intercollegiate sports.
  • B. Girl Blue
    "Girl Blue" is a soulful, jazz-inflected R&B song by Stevie Wonder from his acclaimed 1972 album *Music of My Mind*.
  • C. Baby Blue
    Baby Blue is a country music song by Australian singer Jimmy Little, recognized as one of his signature recordings.
  • D. The Moon Is Blue
    The Moon Is Blue is a 1953 romantic comedy film, directed by Otto Preminger and noted for its then-controversial sexual frankness and witty dialogue.
  • E. Luv Ya Blue
    Luv Ya Blue was the popular rallying cry and fan movement surrounding the late-1970s Houston Oilers teams, symbolizing the city’s passionate support and distinctive football culture.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415f73808190b69db386b447062e completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6402e41c819095442775938d4282 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68647cec81909736383fbe73d2e8 completed April 1, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69cc69b93bbc8190be2338182dd57b17 completed April 1, 2026, 12:41 a.m.
Created at: March 30, 2026, 5:29 p.m.