Triple

T12163553
Position Surface form Disambiguated ID Type / Status
Subject Santos FC E289771 entity
Predicate notablePlayer P304 FINISHED
Object Clodoaldo
Clodoaldo is a former Brazilian midfielder best known for his role in Brazil’s 1970 World Cup–winning team and his successful career with Santos FC.
 E966543 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: Clodoaldo | Statement: [Santos FC, notablePlayer, Clodoaldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clodoaldo
Context triple: [Santos FC, notablePlayer, Clodoaldo]
  • A. Teobaldo
    Teobaldo is the Italian form of the given name Theobald, historically borne by various European nobles and clerics.
  • B. Celso
    Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
  • C. Alpidio
    Alpidio is a masculine given name of Latin origin, used primarily in Spanish-speaking countries.
  • D. Ciro
    Ciro is a masculine given name of Italian and Spanish origin, often used in various countries around the world.
  • E. Ubalde
    Ubalde is a character in the opera "Armide," typically portrayed as a valiant knight who attempts to rescue the enchanted Renaud.
  • 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: Clodoaldo
Triple: [Santos FC, notablePlayer, Clodoaldo]
Generated description
Clodoaldo is a former Brazilian midfielder best known for his role in Brazil’s 1970 World Cup–winning team and his successful career with Santos FC.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clodoaldo
Target entity description: Clodoaldo is a former Brazilian midfielder best known for his role in Brazil’s 1970 World Cup–winning team and his successful career with Santos FC.
  • A. Teobaldo
    Teobaldo is the Italian form of the given name Theobald, historically borne by various European nobles and clerics.
  • B. Celso
    Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
  • C. Alpidio
    Alpidio is a masculine given name of Latin origin, used primarily in Spanish-speaking countries.
  • D. Ciro
    Ciro is a masculine given name of Italian and Spanish origin, often used in various countries around the world.
  • E. Ubalde
    Ubalde is a character in the opera "Armide," typically portrayed as a valiant knight who attempts to rescue the enchanted Renaud.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c498a081908389598d0c247505 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a2716081909620a9d11cfcc2d8 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6017f89d88190b766af7828794d87 completed May 2, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69f60232d89881909f254da6deb7f321 completed May 2, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:50 p.m.