Triple

T6404711
Position Surface form Disambiguated ID Type / Status
Subject Janelle Monáe E144148 entity
Predicate notableWork P4 FINISHED
Object “PYNK”
“PYNK” is a feminist, queer-affirming pop-R&B song and visually striking music video by Janelle Monáe that celebrates sexuality, body positivity, and womanhood.
 E589883 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: “PYNK” | Statement: [Janelle Monáe, notableWork, “PYNK”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “PYNK”
Context triple: [Janelle Monáe, notableWork, “PYNK”]
  • A. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • B. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • C. PNX
    PNX is the IATA airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
  • D. PNQ
    PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
  • E. PIK
    PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
  • 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: “PYNK”
Triple: [Janelle Monáe, notableWork, “PYNK”]
Generated description
“PYNK” is a feminist, queer-affirming pop-R&B song and visually striking music video by Janelle Monáe that celebrates sexuality, body positivity, and womanhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “PYNK”
Target entity description: “PYNK” is a feminist, queer-affirming pop-R&B song and visually striking music video by Janelle Monáe that celebrates sexuality, body positivity, and womanhood.
  • A. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • B. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • C. PNX
    PNX is the IATA airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
  • D. PNQ
    PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
  • E. PIK
    PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068b0950c819091169aa1a3be0e88 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638aaed0c8190939e751af7c3fa80 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c6395e934c81909bfa10ee1b8e517f completed March 27, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69c63a0a4a108190b474555d8cb1540c completed March 27, 2026, 8:04 a.m.
Created at: March 22, 2026, 4:35 p.m.