Triple

T22980349
Position Surface form Disambiguated ID Type / Status
Subject Who’s That Woman? E571440 entity
Predicate stagingDevice P150482 FINISHED
Object mirror-like pairing of older and younger performers LITERAL 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: mirror-like pairing of older and younger performers | Statement: [Who’s That Woman?, stagingDevice, mirror-like pairing of older and younger performers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stagingDevice
Context triple: [Who’s That Woman?, stagingDevice, mirror-like pairing of older and younger performers]
  • A. staging
    Indicates the process of arranging, organizing, or setting up elements in preparation for a main event, performance, or deployment.
  • B. stagingStyle
    Indicates how an event, performance, or scene is arranged, presented, or visually organized in a given context.
  • C. testedDevice
    Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
  • D. stagingArea
    Indicates a temporary holding or preparation location where items, resources, or entities are gathered, organized, or readied before being moved to their final destination or used in a subsequent process.
  • E. stagedIn
    Indicates that an event, performance, or production takes place or is set within a particular location or venue.
  • F. None of above. chosen

Provenance (4 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18294c4c8819083ef85d9cb736613 completed April 29, 2026, 4:01 a.m.
PD Predicate disambiguation batch_69ef3b9101f48190a06c69dff26c6441 completed April 27, 2026, 10:33 a.m.
PDg Predicate description generation batch_69ef538a115081908982597f79355840 completed April 27, 2026, 12:16 p.m.
Created at: April 17, 2026, 3:49 p.m.