Triple

T15822365
Position Surface form Disambiguated ID Type / Status
Subject Beauty Marks E383642 entity
Predicate hasGuestPerformer P10756 FINISHED
Object Summerella
Summerella is an American singer and social media personality who gained popularity through Vine and later for her R&B music releases.
 E1178648 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: Summerella | Statement: [Beauty Marks, hasGuestPerformer, Summerella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Summerella
Context triple: [Beauty Marks, hasGuestPerformer, Summerella]
  • A. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • B. Hi-Nella
    Hi-Nella is a small borough in southern New Jersey, known for its primarily residential character within the Philadelphia metropolitan area.
  • C. Yowlumne
    Yowlumne is a Native American language variety traditionally spoken by the Yowlumne (Southern Valley Yokuts) people of California’s San Joaquin Valley.
  • D. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • E. Morelle
    Morelle is a surname most notably associated with American politician Joseph D. Morelle, a U.S. Representative from New York.
  • 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: Summerella
Triple: [Beauty Marks, hasGuestPerformer, Summerella]
Generated description
Summerella is an American singer and social media personality who gained popularity through Vine and later for her R&B music releases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Summerella
Target entity description: Summerella is an American singer and social media personality who gained popularity through Vine and later for her R&B music releases.
  • A. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • B. Hi-Nella
    Hi-Nella is a small borough in southern New Jersey, known for its primarily residential character within the Philadelphia metropolitan area.
  • C. Yowlumne
    Yowlumne is a Native American language variety traditionally spoken by the Yowlumne (Southern Valley Yokuts) people of California’s San Joaquin Valley.
  • D. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • E. Morelle
    Morelle is a surname most notably associated with American politician Joseph D. Morelle, a U.S. Representative from New York.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a887d881908f74a1fcba390727 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99999c2c8190b1838aed40e12061 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9aa845348190907116612d2c87cd completed May 9, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69ff9b8833b88190967db29027b5f987 completed May 9, 2026, 8:39 p.m.
Created at: April 10, 2026, 4:49 a.m.