Triple

T14412516
Position Surface form Disambiguated ID Type / Status
Subject High Heels E357363 entity
Predicate followedBy P78 FINISHED
Object Kika
Kika is a song that follows "High Heels" in a music release sequence, likely within the pop or dance genre.
 E1097598 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: Kika | Statement: [High Heels, followedBy, Kika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kika
Context triple: [High Heels, followedBy, Kika]
  • A. Kiko
    Kiko is a critically acclaimed 1992 studio album by the American rock band Los Lobos, noted for its experimental sound and rich, atmospheric production.
  • B. Kiko
    Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
  • C. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • D. Kichha
    Kichha is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural markets and proximity to the industrial hub of Rudrapur.
  • E. Kiya
    Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
  • 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: Kika
Triple: [High Heels, followedBy, Kika]
Generated description
Kika is a song that follows "High Heels" in a music release sequence, likely within the pop or dance genre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kika
Target entity description: Kika is a song that follows "High Heels" in a music release sequence, likely within the pop or dance genre.
  • A. Kiko
    Kiko is a critically acclaimed 1992 studio album by the American rock band Los Lobos, noted for its experimental sound and rich, atmospheric production.
  • B. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • C. Kiko
    Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
  • D. Kichha
    Kichha is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural markets and proximity to the industrial hub of Rudrapur.
  • E. Kiya
    Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.