Triple

T2220129
Position Surface form Disambiguated ID Type / Status
Subject Drunk in Love E48120 entity
Predicate producer P490 FINISHED
Object Boots
Boots is an American singer, songwriter, and record producer best known for his influential work on Beyoncé’s self-titled 2013 album.
 E245936 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: Boots | Statement: [Drunk in Love, producer, Boots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boots
Context triple: [Drunk in Love, producer, Boots]
  • A. Bata
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • B. Scarpe
    The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
  • C. Clogs
    Clogs is an experimental chamber ensemble known for its minimalist, classical, and post-rock-influenced compositions, featuring members who are also associated with the indie rock band The National.
  • D. Car Shoe
    Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
  • E. Dr. Martens
    Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
  • 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: Boots
Triple: [Drunk in Love, producer, Boots]
Generated description
Boots is an American singer, songwriter, and record producer best known for his influential work on Beyoncé’s self-titled 2013 album.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boots
Target entity description: Boots is an American singer, songwriter, and record producer best known for his influential work on Beyoncé’s self-titled 2013 album.
  • A. Bata
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • B. Scarpe
    The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
  • C. Clogs
    Clogs is an experimental chamber ensemble known for its minimalist, classical, and post-rock-influenced compositions, featuring members who are also associated with the indie rock band The National.
  • D. Car Shoe
    Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
  • E. Dr. Martens
    Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc01386588190a9507f2969a201ca completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655df21c8190aa9624f15955c565 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae667dede88190b3d1f8bb8866e19e completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66f12c648190a146de7b2bfdb541 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:46 p.m.