Triple

T22821748
Position Surface form Disambiguated ID Type / Status
Subject David Ellefson E565249 entity
Predicate associatedAct P37 FINISHED
Object F5
F5 is a heavy metal band formed by former Megadeth bassist David Ellefson, known for its modern metal sound and connection to the early 2000s American metal scene.
 E1555662 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: F5 | Statement: [David Ellefson, associatedAct, F5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F5
Context triple: [David Ellefson, associatedAct, F5]
  • A. F5
    F5 is a leading American technology company best known for its application delivery networking and security solutions that optimize and protect applications across cloud and on-premises environments.
  • B. Gate F5
    Gate F5 is a designated passenger boarding and departure point within the airport’s F1–F22 gate concourse.
  • C. F50
    F50 is the ICAO type designator for the Fokker 50, a twin-turboprop regional airliner developed by the Dutch manufacturer Fokker.
  • D. F51
    F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
  • E. F5 algorithm
    The F5 algorithm is an efficient method in computational algebra for computing Gröbner bases by using signature-based criteria to avoid redundant polynomial reductions.
  • 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: F5
Triple: [David Ellefson, associatedAct, F5]
Generated description
F5 is a heavy metal band formed by former Megadeth bassist David Ellefson, known for its modern metal sound and connection to the early 2000s American metal scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F5
Target entity description: F5 is a heavy metal band formed by former Megadeth bassist David Ellefson, known for its modern metal sound and connection to the early 2000s American metal scene.
  • A. F5
    F5 is a leading American technology company best known for its application delivery networking and security solutions that optimize and protect applications across cloud and on-premises environments.
  • B. Gate F5
    Gate F5 is a designated passenger boarding and departure point within the airport’s F1–F22 gate concourse.
  • C. F50
    F50 is the ICAO type designator for the Fokker 50, a twin-turboprop regional airliner developed by the Dutch manufacturer Fokker.
  • D. F51
    F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
  • E. F5 algorithm
    The F5 algorithm is an efficient method in computational algebra for computing Gröbner bases by using signature-based criteria to avoid redundant polynomial reductions.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd11b048190869c0c8a0e3095d7 completed April 29, 2026, 3:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9ea989848190886e352179f342fc completed May 18, 2026, 11:20 p.m.
NEDg Description generation batch_6a0ba03629048190ab84014e3f1b0077 completed May 18, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba0c54d808190b7f6324465c56aa0 completed May 18, 2026, 11:29 p.m.
Created at: April 17, 2026, 3:33 p.m.