Triple

T950217
Position Surface form Disambiguated ID Type / Status
Subject Lyman Trumbull E20502 entity
Predicate tookPositionOn P21606 FINISHED
Object opposed removal of Andrew Johnson from office LITERAL 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: opposed removal of Andrew Johnson from office | Statement: [Lyman Trumbull, tookPositionOn, opposed removal of Andrew Johnson from office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tookPositionOn
Context triple: [Lyman Trumbull, tookPositionOn, opposed removal of Andrew Johnson from office]
  • A. takesOver
    Indicates that one entity assumes control, ownership, or responsibility for another entity, often replacing its previous controller.
  • B. positionHeld
    Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
  • C. positionedAgainst
    Indicates that one entity is placed so that it directly faces or is set opposite to another entity, often in close or contacting alignment.
  • D. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • E. hasPositionOn
    Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
  • F. None of above. chosen

Provenance (4 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3c191ac819099ebf3cb32f096d8 completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b2a045308190ab94f3adab40db8d completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b30efd2c8190b780a6dee086d0aa completed March 1, 2026, 9:43 p.m.
Created at: March 1, 2026, 7:40 p.m.