Triple

T20666903
Position Surface form Disambiguated ID Type / Status
Subject Agnostic Front E507915 entity
Predicate hasFormerMember P1168 FINISHED
Object Mike Gallo NE NERFINISHED

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: Mike Gallo | Statement: [Agnostic Front, hasFormerMember, Mike Gallo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Gallo
Context triple: [Agnostic Front, hasFormerMember, Mike Gallo]
  • A. Mike Gallo chosen
    Mike Gallo is an American bassist best known for his long-running role in the influential New York hardcore punk band Agnostic Front.
  • B. Max Gallo
    Max Gallo was a prominent French historian, novelist, and politician known for his popular historical biographies and membership in the Académie Française.
  • C. Phil Giallombardo
    Phil Giallombardo is an American musician best known as an early keyboardist and vocalist for the rock band The James Gang.
  • D. Michael Raffetto
    Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
  • E. Mike Larocca
    Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c39dd48190965d65537592aef6 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.