Triple

T9570905
Position Surface form Disambiguated ID Type / Status
Subject The Max Weinberg 7 E230913 entity
Predicate hasMember P10 FINISHED
Object Mark Pender E794393 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: Mark Pender | Statement: [The Max Weinberg 7, hasMember, Mark Pender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Pender
Context triple: [The Max Weinberg 7, hasMember, Mark Pender]
  • A. Mark Pender chosen
    Mark Pender is an American trumpeter and vocalist best known for his work with Bruce Springsteen’s bands and as a longtime member of the Max Weinberg 7 on Late Night with Conan O’Brien.
  • B. Mike Pender
    Mike Pender is an English guitarist and singer best known as a founding member and original lead vocalist of the 1960s Merseybeat band The Searchers.
  • C. Don Peters
    Don Peters is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the unfolding crisis when women worldwide fall into a mysterious sleep.
  • D. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • E. Gary Tarpinian
    Gary Tarpinian was an American television producer best known for creating and producing popular nonfiction and reality series, particularly in the history and science genres.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998ab5948190be78db4eed7825a0 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d597224481908154e5db47ae52f9 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:04 p.m.