Triple

T11001171
Position Surface form Disambiguated ID Type / Status
Subject SARA E260006 entity
Predicate hasSubsystem P4718 FINISHED
Object CENA
CENA is a subsystem within the SARA framework, likely responsible for a specific specialized function or module in that larger system.
E898945 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: CENA | Statement: [SARA, hasSubsystem, CENA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CENA
Context triple: [SARA, hasSubsystem, CENA]
  • A. Cena
    Cena is the surname of John Cena, a prominent American professional wrestler, actor, and television host.
  • B. Youmacon
    Youmacon is an annual anime and gaming convention held in Detroit, Michigan, featuring cosplay, panels, concerts, and other fan-focused events.
  • C. Comanechi
    Comanechi is a British noise-punk/garage rock band known for its raw, abrasive sound and underground cult following.
  • D. Victory Road
    Victory Road is a recurring professional wrestling pay-per-view and special event produced by Impact Wrestling (formerly TNA), featuring high-profile matches and storylines.
  • E. El Monumental
    El Monumental is a famous football stadium in Buenos Aires, Argentina, best known as the home ground of Club Atlético River Plate and a frequent venue for major international matches.
  • 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: CENA
Triple: [SARA, hasSubsystem, CENA]
Generated description
CENA is a subsystem within the SARA framework, likely responsible for a specific specialized function or module in that larger system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CENA
Target entity description: CENA is a subsystem within the SARA framework, likely responsible for a specific specialized function or module in that larger system.
  • A. Cena
    Cena is the surname of John Cena, a prominent American professional wrestler, actor, and television host.
  • B. Youmacon
    Youmacon is an annual anime and gaming convention held in Detroit, Michigan, featuring cosplay, panels, concerts, and other fan-focused events.
  • C. Comanechi
    Comanechi is a British noise-punk/garage rock band known for its raw, abrasive sound and underground cult following.
  • D. Victory Road
    Victory Road is a recurring professional wrestling pay-per-view and special event produced by Impact Wrestling (formerly TNA), featuring high-profile matches and storylines.
  • E. El Monumental
    El Monumental is a famous football stadium in Buenos Aires, Argentina, best known as the home ground of Club Atlético River Plate and a frequent venue for major international matches.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d68b608190a8d016b9383e82f8 completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e35570b0bc8190a939b0c8e3ce8105 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e359508a388190a16d48a17015e13e completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:25 p.m.