Triple

T13741558
Position Surface form Disambiguated ID Type / Status
Subject Dele Alli E330097 entity
Predicate givenName P17 FINISHED
Object Dele
Dele is the commonly used first name of English professional footballer Dele Alli, known for his attacking midfield role for club and country.
 E1057754 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: Dele | Statement: [Dele Alli, givenName, Dele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dele
Context triple: [Dele Alli, givenName, Dele]
  • A. Dule
    Dule are the Indigenous Guna people’s self-designation, referring to themselves as a distinct Native group of Panama and Colombia.
  • B. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • C. Darré
    Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
  • D. Melus
    Melus is the ancient Greek island city-state better known by its historical name Melos, noted for its role in the Peloponnesian War and the discovery of the Venus de Milo.
  • E. Wedela
    Wedela is a small mining-related township in South Africa’s Gauteng province, situated between the gold-mining areas of Carletonville and Westonaria.
  • 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: Dele
Triple: [Dele Alli, givenName, Dele]
Generated description
Dele is the commonly used first name of English professional footballer Dele Alli, known for his attacking midfield role for club and country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dele
Target entity description: Dele is the commonly used first name of English professional footballer Dele Alli, known for his attacking midfield role for club and country.
  • A. Dule
    Dule are the Indigenous Guna people’s self-designation, referring to themselves as a distinct Native group of Panama and Colombia.
  • B. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • C. Darré
    Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
  • D. Melus
    Melus is the ancient Greek island city-state better known by its historical name Melos, noted for its role in the Peloponnesian War and the discovery of the Venus de Milo.
  • E. Wedela
    Wedela is a small mining-related township in South Africa’s Gauteng province, situated between the gold-mining areas of Carletonville and Westonaria.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0206a4b88190a60914e2b43e54f9 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6db3a48190a4f3595355f9073b completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79ee1eaf88190a3ee3b9a20271ea8 completed May 3, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69f79f7216b08190800165d46172222c completed May 3, 2026, 7:18 p.m.
Created at: April 9, 2026, 9:55 p.m.