Triple

T2204397
Position Surface form Disambiguated ID Type / Status
Subject Sure Thing E50562 entity
Predicate writer P1360 FINISHED
Object Happy Perez
Happy Perez is an American record producer and songwriter known for crafting smooth, R&B-infused hits for artists like Miguel, Mariah Carey, and H.E.R.
 E245217 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: Happy Perez | Statement: [Sure Thing, writer, Happy Perez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Happy Perez
Context triple: [Sure Thing, writer, Happy Perez]
  • A. Gomez
    Gomez is a common Spanish-origin surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • B. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • C. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • D. Paco
    Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
  • E. Speedy Gonzales
    Speedy Gonzales is a classic Looney Tunes cartoon character known as "the fastest mouse in all Mexico," famous for his incredible speed, sombrero, and catchphrase "¡Ándale! ¡Ándale! ¡Arriba! ¡Arriba!"
  • 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: Happy Perez
Triple: [Sure Thing, writer, Happy Perez]
Generated description
Happy Perez is an American record producer and songwriter known for crafting smooth, R&B-infused hits for artists like Miguel, Mariah Carey, and H.E.R.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Happy Perez
Target entity description: Happy Perez is an American record producer and songwriter known for crafting smooth, R&B-infused hits for artists like Miguel, Mariah Carey, and H.E.R.
  • A. Gomez
    Gomez is a common Spanish-origin surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • B. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • C. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • D. Paco
    Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
  • E. Speedy Gonzales
    Speedy Gonzales is a classic Looney Tunes cartoon character known as "the fastest mouse in all Mexico," famous for his incredible speed, sombrero, and catchphrase "¡Ándale! ¡Ándale! ¡Arriba! ¡Arriba!"
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa481308190bda187c03162e0b6 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae654976908190bad6352be1e33d61 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae6656f7788190818179d923b11bba completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66cc3ac0819096e3f246b10e7761 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:46 p.m.