Triple

T16878031
Position Surface form Disambiguated ID Type / Status
Subject Veedon Fleece E421347 entity
Predicate hasTrack P3284 FINISHED
Object Bulbs
"Bulbs" is a song featured on Van Morrison's 1974 album *Veedon Fleece*.
 E1238703 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: Bulbs | Statement: [Veedon Fleece, hasTrack, Bulbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bulbs
Context triple: [Veedon Fleece, hasTrack, Bulbs]
  • A. Flowers
    "Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
  • B. Flowers
    "Flowers" is a poignant song from the musical *Hadestown* that explores themes of love, loss, and memory through Eurydice’s perspective.
  • C. Flowers
    Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
  • D. Flowers
    Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
  • E. Tulips
    "Tulips" is a confessional poem by Sylvia Plath that explores themes of identity, illness, and the tension between life and death through the speaker’s intense reaction to a bouquet of bright red tulips in a hospital room.
  • 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: Bulbs
Triple: [Veedon Fleece, hasTrack, Bulbs]
Generated description
"Bulbs" is a song featured on Van Morrison's 1974 album *Veedon Fleece*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bulbs
Target entity description: "Bulbs" is a song featured on Van Morrison's 1974 album *Veedon Fleece*.
  • A. Flowers
    "Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
  • B. Flowers
    "Flowers" is a poignant song from the musical *Hadestown* that explores themes of love, loss, and memory through Eurydice’s perspective.
  • C. Flowers
    Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
  • D. Flowers
    Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
  • E. Tulips
    "Tulips" is a confessional poem by Sylvia Plath that explores themes of identity, illness, and the tension between life and death through the speaker’s intense reaction to a bouquet of bright red tulips in a hospital room.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f8a1d48190ad829f86e235a1d0 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b684108190928afb0a2d1af038 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c3719c88819080279147f9bc415e completed May 10, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_6a00c4850dec819085ae8b51c94c11e7 completed May 10, 2026, 5:46 p.m.
Created at: April 10, 2026, 5:29 a.m.