Triple

T13846589
Position Surface form Disambiguated ID Type / Status
Subject Phil Hartman E332822 entity
Predicate familyName P18 FINISHED
Object Hartmann E107131 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: Hartmann | Statement: [Phil Hartman, familyName, Hartmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartmann
Context triple: [Phil Hartman, familyName, Hartmann]
  • A. Hartmann chosen
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • B. Hartman
    Hartman is a surname of Germanic origin borne by various notable individuals across fields such as entertainment, academia, and politics.
  • C. Habermann
    Habermann is a 2010 Czech-German war drama film directed by Juraj Herz that portrays the moral and ethnic tensions in a Sudeten village during and after World War II.
  • D. Klostermann
    Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
  • E. Erhardt
    Erhardt is a German surname and given name, often considered a variant of Erhard, and is borne by various notable individuals in fields such as sports, arts, and public life.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f189008190bb9afeef42564a33 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:13 p.m.