Triple

T566301
Position Surface form Disambiguated ID Type / Status
Subject Russell T Davies E13559 entity
Predicate notableWork P4 FINISHED
Object Banana
Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
 E71124 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: Banana | Statement: [Russell T Davies, notableWork, Banana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banana
Context triple: [Russell T Davies, notableWork, Banana]
  • A. Mango
    Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
  • B. Mangifera
    Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
  • C. Keitt mango
    Keitt mango is a late-season, large, green-skinned mango cultivar prized for its sweet, fiberless flesh and extended shelf life.
  • D. Peach
    The peach is a sweet, juicy stone fruit with fuzzy skin, widely cultivated and celebrated in Georgia and other temperate regions.
  • E. Haden mango
    Haden mango is a historically important and widely grown mango cultivar from Florida known for its rich flavor, vibrant color, and role as a parent to many modern mango varieties.
  • 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: Banana
Triple: [Russell T Davies, notableWork, Banana]
Generated description
Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banana
Target entity description: Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • A. Mango
    Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
  • B. Mangifera
    Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
  • C. Keitt mango
    Keitt mango is a late-season, large, green-skinned mango cultivar prized for its sweet, fiberless flesh and extended shelf life.
  • D. Peach
    The peach is a sweet, juicy stone fruit with fuzzy skin, widely cultivated and celebrated in Georgia and other temperate regions.
  • E. Haden mango
    Haden mango is a historically important and widely grown mango cultivar from Florida known for its rich flavor, vibrant color, and role as a parent to many modern mango varieties.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b01aca48190944408d066519149 completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efd0d5b88190a8c0822800f48e2a completed March 2, 2026, 2:02 a.m.
NEDg Description generation batch_69a4f043efec8190a3f53ab2764252be completed March 2, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a4f3eb1e3481909aa2b8290ed99e49 completed March 2, 2026, 2:20 a.m.
Created at: March 1, 2026, 7:32 p.m.