Triple

T10456130
Position Surface form Disambiguated ID Type / Status
Subject Forman E246554 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Foreman E184338 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: Foreman | Statement: [Forman, hasAlternativeSpelling, Foreman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foreman
Context triple: [Forman, hasAlternativeSpelling, Foreman]
  • A. Foreman chosen
    Foreman is an open-source lifecycle management and provisioning tool for physical and virtual servers, commonly used to automate system configuration and deployment.
  • B. Freeman Meskimen
    Freeman Meskimen was an American actor and the husband of actress Marion Ross.
  • C. Antony Firingee
    Antony Firingee is a 1967 Bengali biographical musical drama film starring Uttam Kumar as a Portuguese-born poet who embraces Bengali culture and faces social opposition.
  • D. Steward
    Steward is a surname of English origin historically associated with the occupational title for someone who managed a household or estate.
  • E. Flynt
    Flynt is the middle name of William Flynt Nichols, an American politician who served as a U.S. Representative from Alabama.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe48d15c8190bae0d4859e6cda5d completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f10b45c81908f1d3128c65750f8 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.