Triple

T1787497
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl XLV halftime show E39423 entity
Predicate notableSongPerformed P11145 FINISHED
Object OMG
"OMG" is a 2010 dance-pop and R&B hit single by Usher featuring will.i.am, known for its catchy hook and heavy use of Auto-Tune.
 E199071 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: OMG | Statement: [Super Bowl XLV halftime show, notableSongPerformed, OMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OMG
Context triple: [Super Bowl XLV halftime show, notableSongPerformed, OMG]
  • A. Om
    Om is a sacred sound and spiritual symbol in Hinduism, representing the essence of ultimate reality and the universe.
  • B. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • C. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • D. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • E. Geez
    Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • 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: OMG
Triple: [Super Bowl XLV halftime show, notableSongPerformed, OMG]
Generated description
"OMG" is a 2010 dance-pop and R&B hit single by Usher featuring will.i.am, known for its catchy hook and heavy use of Auto-Tune.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OMG
Target entity description: "OMG" is a 2010 dance-pop and R&B hit single by Usher featuring will.i.am, known for its catchy hook and heavy use of Auto-Tune.
  • A. Om
    Om is a sacred sound and spiritual symbol in Hinduism, representing the essence of ultimate reality and the universe.
  • B. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • C. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • D. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • E. Geez
    Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abaffee0f88190aa7a42ef4a4e2bd2 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a66da8819085867355c174adce completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab488ec81909a340aab4916b90f completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaf3cd23081909dd27c5de8e3f6d2 completed March 8, 2026, 5:17 p.m.
Created at: March 4, 2026, 7:32 p.m.