Triple

T6214571
Position Surface form Disambiguated ID Type / Status
Subject La Serna High School E138952 entity
Predicate mascot P52 FINISHED
Object Lancer
Lancer is the knight-themed mascot representing La Serna High School’s athletic teams and school spirit.
 E574794 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: Lancer | Statement: [La Serna High School, mascot, Lancer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lancer
Context triple: [La Serna High School, mascot, Lancer]
  • A. Lancer
    Lancer is an American Western television series that aired in the late 1960s, following a rancher and his two sons as they defend their California ranch.
  • B. Lance the Lancer
    Lance the Lancer is the armored knight mascot representing California Baptist University’s athletic teams and school spirit.
  • C. Lance
    Lance is a masculine given name of Germanic origin commonly used in English-speaking countries.
  • D. Lance
    Lance is a snack food brand best known for its sandwich crackers and other packaged snack products.
  • E. Lansen
    Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
  • 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: Lancer
Triple: [La Serna High School, mascot, Lancer]
Generated description
Lancer is the knight-themed mascot representing La Serna High School’s athletic teams and school spirit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lancer
Target entity description: Lancer is the knight-themed mascot representing La Serna High School’s athletic teams and school spirit.
  • A. Lancer
    Lancer is an American Western television series that aired in the late 1960s, following a rancher and his two sons as they defend their California ranch.
  • B. Lance the Lancer
    Lance the Lancer is the armored knight mascot representing California Baptist University’s athletic teams and school spirit.
  • C. Lance
    Lance is a masculine given name of Germanic origin commonly used in English-speaking countries.
  • D. Lance
    Lance is a snack food brand best known for its sandwich crackers and other packaged snack products.
  • E. Lansen
    Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0629fd3c08190a121097c188417c4 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f61ed708190a034136cc270e9d0 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1bfb484ac8190903efdf4a18f3a1c completed March 23, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69c1c03551008190af5e3427b4cdcd11 completed March 23, 2026, 10:35 p.m.
Created at: March 22, 2026, 4:21 p.m.