Triple

T9880428
Position Surface form Disambiguated ID Type / Status
Subject Nervous E180787 entity
Predicate hasPerformer P5936 FINISHED
Object Legend
Legend is a performer known for their role in the work "Nervous."
E832553 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: Legend | Statement: [Nervous, hasPerformer, Legend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legend
Context triple: [Nervous, hasPerformer, Legend]
  • A. Legend
    Legend is the eighth studio album by American singer John Legend, showcasing his blend of R&B, soul, and pop influences.
  • B. Legend
    Legend is a 1985 dark fantasy film directed by Ridley Scott, known for its lush visual style, fairy-tale atmosphere, and Tim Curry’s iconic portrayal of the Lord of Darkness.
  • C. Legend
    Legend was the original brand name of the Chinese technology company now known globally as Lenovo.
  • D. Legend
    Legend is the official mascot character created for the 2015 World Aquatics Championships held in Kazan, Russia.
  • E. Legend
    Legend is a greatest hits compilation album by Bob Marley and the Wailers that has become one of the best-selling and most influential reggae records of all time.
  • 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: Legend
Triple: [Nervous, hasPerformer, Legend]
Generated description
Legend is a performer known for their role in the work "Nervous."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Legend
Target entity description: Legend is a performer known for their role in the work "Nervous."
  • A. Legend
    Legend is a musical artist known for performing the song "Guy Like Me."
  • B. Legend
    Legend is a musical artist known for creating tracks like "Dope" within contemporary hip-hop and rap scenes.
  • C. Legend
    Legend is the eighth studio album by American singer John Legend, showcasing his blend of R&B, soul, and pop influences.
  • D. Legend
    Legend is a greatest hits compilation album by Bob Marley and the Wailers that has become one of the best-selling and most influential reggae records of all time.
  • E. Legend
    Legend is a 1985 dark fantasy film directed by Ridley Scott, known for its lush visual style, fairy-tale atmosphere, and Tim Curry’s iconic portrayal of the Lord of Darkness.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4146fe881908f9fc553dfca31e1 completed April 2, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d09790c8190be161d2dbef2e881 completed April 5, 2026, 10:44 a.m.
NEDg Description generation batch_69d23e6ca3908190b7ad7b932ab35ad7 completed April 5, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_69d241020074819092bc2deea85a6ac0 completed April 5, 2026, 11:01 a.m.
Created at: March 30, 2026, 8:38 p.m.