Triple

T16008100
Position Surface form Disambiguated ID Type / Status
Subject AJ Michalka E388269 entity
Predicate nickname P55 FINISHED
Object AJ
AJ is an American actress and singer-songwriter best known as one half of the pop duo Aly & AJ and for her roles in film and television.
E1188991 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: AJ | Statement: [AJ Michalka, nickname, AJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AJ
Context triple: [AJ Michalka, nickname, AJ]
  • A. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • B. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • C. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • D. AJB
    AJB is the Swedish Army Ranger Battalion, an elite light infantry unit specializing in reconnaissance and special operations in challenging terrain.
  • E. AKJ
    AKJ is the ICAO airline designator assigned to Akasa Air, a low-cost carrier based in India.
  • 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: AJ
Triple: [AJ Michalka, nickname, AJ]
Generated description
AJ is an American actress and singer-songwriter best known as one half of the pop duo Aly & AJ and for her roles in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AJ
Target entity description: AJ is an American actress and singer-songwriter best known as one half of the pop duo Aly & AJ and for her roles in film and television.
  • A. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • B. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • C. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • D. AJB
    AJB is the Swedish Army Ranger Battalion, an elite light infantry unit specializing in reconnaissance and special operations in challenging terrain.
  • E. AKJ
    AKJ is the ICAO airline designator assigned to Akasa Air, a low-cost carrier based in India.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800e3608190bd3e1123ccc6c326 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf22db3481909141ddef151d0341 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd08186d081909b6e236768dc3cde completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd0f1914c81908c55df30a27fc0d1 completed May 10, 2026, 12:27 a.m.
Created at: April 10, 2026, 4:55 a.m.