Triple

T16968312
Position Surface form Disambiguated ID Type / Status
Subject Toru E411599 entity
Predicate appearsAlongside P25756 FINISHED
Object Lemon
Lemon is a citrus fruit known for its bright yellow color, sour taste, and wide use in cooking, beverages, and cleaning.
 E808192 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: Lemon | Statement: [Toru, appearsAlongside, Lemon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lemon
Context triple: [Toru, appearsAlongside, Lemon]
  • A. Lemon
    Lemon is a 1993 song by U2 from their album "Zooropa," noted for its dance-oriented sound and Bono’s distinctive falsetto vocals.
  • B. Lemon
    Lemon is a citrus fruit known for its bright yellow color, sour taste, and wide use in cooking, beverages, and cleaning.
  • C. Lemon
    "Lemon" is a 2017 funk-infused hip hop single by N.E.R.D featuring Rihanna, known for its minimalist beat and distinctive rap-sung performance.
  • D. Zitrone
    Zitrone is a French surname most notably borne by Léon Zitrone, a prominent 20th-century television journalist and presenter in France.
  • E. Grapefruit
    Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
  • 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: Lemon
Triple: [Toru, appearsAlongside, Lemon]
Generated description
Lemon is a citrus fruit known for its bright yellow color, sour taste, and wide use in cooking, beverages, and cleaning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lemon
Target entity description: Lemon is a citrus fruit known for its bright yellow color, sour taste, and wide use in cooking, beverages, and cleaning.
  • A. Lemon
    Lemon is a 1993 song by U2 from their album "Zooropa," noted for its dance-oriented sound and Bono’s distinctive falsetto vocals.
  • B. Lemon chosen
    Lemon is a citrus fruit known for its bright yellow color, sour taste, and wide use in cooking, beverages, and cleaning.
  • C. Lemon
    "Lemon" is a 2017 funk-infused hip hop single by N.E.R.D featuring Rihanna, known for its minimalist beat and distinctive rap-sung performance.
  • D. Zitrone
    Zitrone is a French surname most notably borne by Léon Zitrone, a prominent 20th-century television journalist and presenter in France.
  • E. Grapefruit
    Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
  • F. None of above.

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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a6f628819080db47285954729a completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46f1d608190befe4dcbda086c03 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d619d0f88190904a8afdd02c6f54 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d67eb2a48190b57e394925181f70 completed May 10, 2026, 7:03 p.m.
Created at: April 10, 2026, 5:31 a.m.