Triple

T538855
Position Surface form Disambiguated ID Type / Status
Subject Le Modulor E12384 entity
Predicate hasComponent P35 FINISHED
Object Modulor Man E12384 NE FINISHED

How this triple was built (2 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: Modulor Man | Statement: [Le Modulor, hasComponent, Modulor Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modulor Man
Context triple: [Le Modulor, hasComponent, Modulor Man]
  • A. Le Modulor chosen
    Le Modulor is a human-scale proportional system developed by architect Le Corbusier to harmonize architectural design with human measurements and aesthetic ratios.
  • B. Moonman
    Moonman is the iconic astronaut-shaped statuette awarded to winners of the MTV Video Music Awards.
  • C. Mr. Man
    "Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • D. The Factory
    The Factory was Andy Warhol’s legendary New York City studio and avant-garde hub, famous for its experimental art, film, and celebrity-filled gatherings in the 1960s and 1970s.
  • E. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dd31c88190b3114805aa31931c completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c66fa348819081e004fb4350f4ea completed March 1, 2026, 11:06 p.m.
Created at: March 1, 2026, 7:32 p.m.