Triple

T942343
Position Surface form Disambiguated ID Type / Status
Subject Rui Mateus E20333 entity
Predicate givenName P17 FINISHED
Object Rui
Rui is a common Portuguese given name typically used for males.
E110963 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: Rui | Statement: [Rui Mateus, givenName, Rui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rui
Context triple: [Rui Mateus, givenName, Rui]
  • A. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • B. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • C. Rano Aroi
    Rano Aroi is a volcanic crater and small freshwater lake located on Easter Island, known for its high-altitude bogs and unique ecological features.
  • D. Mitsuru
    Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
  • E. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • 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: Rui
Triple: [Rui Mateus, givenName, Rui]
Generated description
Rui is a common Portuguese given name typically used for males.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rui
Target entity description: Rui is a common Portuguese given name typically used for males.
  • A. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • B. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • C. Rano Aroi
    Rano Aroi is a volcanic crater and small freshwater lake located on Easter Island, known for its high-altitude bogs and unique ecological features.
  • D. Mitsuru
    Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
  • E. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e585208190bf477bf78d162e84 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a83365d590819085d8e92c1a69aa10 completed March 4, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69a834268c388190ac725f48be8f8ea6 completed March 4, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:40 p.m.