Triple

T20068909
Position Surface form Disambiguated ID Type / Status
Subject Mark Liberman E499681 entity
Predicate notableWork P4 FINISHED
Object Language Log 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: Language Log | Statement: [Mark Liberman, notableWork, Language Log]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Language Log
Context triple: [Mark Liberman, notableWork, Language Log]
  • A. Language Log chosen
    Language Log is a popular linguistics blog featuring commentary and analysis on language, usage, and linguistics by experts in the field.
  • B. Language Log blog posts
    Language Log blog posts are influential, linguistics-focused online essays and commentaries co-authored by scholars such as Geoffrey Pullum that analyze language use, grammar, and popular misconceptions about linguistics.
  • C. Language
    Language is a leading peer-reviewed linguistics journal known for publishing influential research and critical reviews in the field, including Noam Chomsky’s landmark 1959 critique of behaviorist theories.
  • D. Lang
    Lang is the given name of the renowned Chinese concert pianist Lang Lang, celebrated for his virtuosic technique and charismatic performances.
  • E. Lang
    Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:39 p.m.