Triple

T18729871
Position Surface form Disambiguated ID Type / Status
Subject M151 MUTT E458006 entity
Predicate nickname P55 FINISHED
Object MUTT 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: MUTT | Statement: [M151 MUTT, nickname, MUTT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MUTT
Context triple: [M151 MUTT, nickname, MUTT]
  • A. MUTT chosen
    MUTT is the common nickname for the M151 MUTT, a lightweight military utility vehicle used extensively by the U.S. armed forces during the Cold War era.
  • B. Mailman
    Mailman is a widely used open-source mailing list management software that automates the administration and distribution of email discussion lists.
  • C. Gnus
    Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
  • D. KMail email client
    KMail email client is an open-source, feature-rich email application that serves as the default mail client for the KDE desktop environment on Linux and other Unix-like systems.
  • E. Netscape Mail
    Netscape Mail was an early email client developed by Netscape Communications Corporation, widely used in the 1990s as part of the Netscape Communicator internet suite.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7660488190b4f70db963d05ef6 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.