Triple

T6757988
Position Surface form Disambiguated ID Type / Status
Subject Earle Mack E154511 entity
Predicate familyName P18 FINISHED
Object Mack E306340 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: Mack | Statement: [Earle Mack, familyName, Mack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mack
Context triple: [Earle Mack, familyName, Mack]
  • A. Mack chosen
    Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
  • B. Mack Maine
    Mack Maine is an American rapper and record executive best known as the president of Young Money Entertainment and a close collaborator of Lil Wayne.
  • C. Mack Trucks
    Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
  • D. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • E. Chevrolet Series H
    The Chevrolet Series H was an early 1910s line of Chevrolet automobiles that helped transition the brand from its first luxury-oriented models to more affordable, mass-market cars.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f90b6c8190b4a17a23aa9ba0fb completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712ad568c8190bc82f6149c22273a completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.