Triple

T16652170
Position Surface form Disambiguated ID Type / Status
Subject Don't Get Mad, Get Even E404632 entity
Predicate performerMember P22076 FINISHED
Object Joe Perry E293938 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: Joe Perry | Statement: [Don't Get Mad, Get Even, performerMember, Joe Perry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Perry
Context triple: [Don't Get Mad, Get Even, performerMember, Joe Perry]
  • A. Joe Perry
    Joe Perry is an English professional snooker player known for his long career on the World Snooker Tour and for winning the 2015 Players Championship.
  • B. Joe Perry (musician) chosen
    Joe Perry is an American rock guitarist best known as the lead guitarist and co-founder of the band Aerosmith.
  • C. Paul Stanley
    Paul Stanley is an American musician best known as the rhythm guitarist, co-lead vocalist, and a primary songwriter for the rock band Kiss.
  • D. Jack Gramm
    Jack Gramm is a forensic psychiatrist and college professor who becomes the central protagonist in the thriller film "88 Minutes," racing against time to stop a killer who has threatened his life.
  • E. Graham Bonnet
    Graham Bonnet is an English rock singer best known for his powerful vocals and work with bands like Rainbow, Alcatrazz, and the Michael Schenker Group.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf7ae7c81908b6807acd8f1669b completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00918e61ac8190a01baf353a6a745c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:18 a.m.