Triple

T28382918
Position Surface form Disambiguated ID Type / Status
Subject SEX boutique E718933 entity
Predicate hadFormerName P65 FINISHED
Object Let It Rock
Let It Rock was the original name of SEX, the influential 1970s London boutique run by Malcolm McLaren and Vivienne Westwood that helped shape the punk fashion movement.
 E1816221 NE FINISHED

How this triple was built (3 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: Let It Rock | Statement: [SEX boutique, hadFormerName, Let It Rock]
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: Let It Rock
Triple: [SEX boutique, hadFormerName, Let It Rock]
Generated description
Let It Rock was the original name of SEX, the influential 1970s London boutique run by Malcolm McLaren and Vivienne Westwood that helped shape the punk fashion movement.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadFormerName
Context triple: [SEX boutique, hadFormerName, Let It Rock]
  • A. formerName chosen
    Indicates that an entity was previously known by a different name in the past.
  • B. heldAtFormerName
    Indicates that an event or activity took place at a location when it was known by a previous or former name.
  • C. previousNameUsedUntil
    Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
  • D. formerMemberName
    Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
  • E. hasFormerTitle
    Indicates that an entity previously held a specific title or position but no longer does.
  • F. None of above.

Provenance (6 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_69eff6ef211081909d31d9be5f5567e6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64cb8054c8190a12bc4f58e7e4a61 completed May 2, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16330242b881909dc65e8a91bc864c completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a16340b5be08190ba03464f022ef9ab completed May 27, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a1635789f2c8190ade17d4f34d65def completed May 27, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69f641e2f1708190b45b48d6a43c51d2 completed May 2, 2026, 6:26 p.m.
Created at: April 28, 2026, 1:08 a.m.