Triple

T6217913
Position Surface form Disambiguated ID Type / Status
Subject Darlington Nagbe E139035 entity
Predicate familyName P18 FINISHED
Object Nagbe
Nagbe is the surname of Darlington Nagbe, a professional footballer known for his playmaking skills in Major League Soccer and for the United States national team.
 E578638 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: Nagbe | Statement: [Darlington Nagbe, familyName, Nagbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nagbe
Context triple: [Darlington Nagbe, familyName, Nagbe]
  • A. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • B. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • C. Neshnabé
    Neshnabé is the self-designation used by the Potawatomi people to refer to themselves in their own language.
  • D. Noukadubi
    Noukadubi is a 2011 Bengali-language film adaptation of Rabindranath Tagore’s novel of the same name, directed by Rituparno Ghosh.
  • E. Nabouwalu
    Nabouwalu is a small coastal town in Fiji that serves as a key ferry and transport hub linking the island of Vanua Levu with Viti Levu.
  • 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: Nagbe
Triple: [Darlington Nagbe, familyName, Nagbe]
Generated description
Nagbe is the surname of Darlington Nagbe, a professional footballer known for his playmaking skills in Major League Soccer and for the United States national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nagbe
Target entity description: Nagbe is the surname of Darlington Nagbe, a professional footballer known for his playmaking skills in Major League Soccer and for the United States national team.
  • A. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • B. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • C. Neshnabé
    Neshnabé is the self-designation used by the Potawatomi people to refer to themselves in their own language.
  • D. Noukadubi
    Noukadubi is a 2011 Bengali-language film adaptation of Rabindranath Tagore’s novel of the same name, directed by Rituparno Ghosh.
  • E. Nabouwalu
    Nabouwalu is a small coastal town in Fiji that serves as a key ferry and transport hub linking the island of Vanua Levu with Viti Levu.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a35e308190be25c41b02704411 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dbbacf08190bbbb2863e19c3e7c completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c214980bbc8190b188b3c821ea13ea completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c2157d43048190a0376cdc9024c5f9 completed March 24, 2026, 4:39 a.m.
Created at: March 22, 2026, 4:21 p.m.