Triple

T12632877
Position Surface form Disambiguated ID Type / Status
Subject NEWoMan Shinjuku E301686 entity
Predicate brandOf P1500 FINISHED
Object NEWoMan
NEWoMan is a contemporary Japanese shopping complex brand known for its fashion-forward retail, dining, and lifestyle offerings, particularly in major urban hubs like Shinjuku.
 E996256 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: NEWoMan | Statement: [NEWoMan Shinjuku, brandOf, NEWoMan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NEWoMan
Context triple: [NEWoMan Shinjuku, brandOf, NEWoMan]
  • A. NEWHA
    NEWHA is a collegiate women’s ice hockey conference that competes at the NCAA level.
  • B. Newk
    Newk is the nickname of legendary American jazz tenor saxophonist Sonny Rollins, a key figure in the development of modern jazz.
  • C. Nouvel
    Nouvel is a French surname most prominently associated with Jean Nouvel, the renowned contemporary architect known for his innovative and experimental building designs worldwide.
  • D. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • E. NEW
    NEW is the vehicle registration code for the German town of Neustadt an der Waldnaab in Bavaria.
  • 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: NEWoMan
Triple: [NEWoMan Shinjuku, brandOf, NEWoMan]
Generated description
NEWoMan is a contemporary Japanese shopping complex brand known for its fashion-forward retail, dining, and lifestyle offerings, particularly in major urban hubs like Shinjuku.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NEWoMan
Target entity description: NEWoMan is a contemporary Japanese shopping complex brand known for its fashion-forward retail, dining, and lifestyle offerings, particularly in major urban hubs like Shinjuku.
  • A. NEWHA
    NEWHA is a collegiate women’s ice hockey conference that competes at the NCAA level.
  • B. Newk
    Newk is the nickname of legendary American jazz tenor saxophonist Sonny Rollins, a key figure in the development of modern jazz.
  • C. Nouvel
    Nouvel is a French surname most prominently associated with Jean Nouvel, the renowned contemporary architect known for his innovative and experimental building designs worldwide.
  • D. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • E. NEW
    NEW is the standard three-letter abbreviation used to represent Newcastle Jets FC, a professional football club based in Newcastle, Australia.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610e4f408190946f37325d69375c completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66871998c8190af8bd3f9ec596ada completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:15 p.m.