Triple

T9195828
Position Surface form Disambiguated ID Type / Status
Subject Rachel Watson E220703 entity
Predicate hasBlackouts P86943 FINISHED
Object due to alcohol consumption 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: due to alcohol consumption | Statement: [Rachel Watson, hasBlackouts, due to alcohol consumption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBlackouts
Context triple: [Rachel Watson, hasBlackouts, due to alcohol consumption]
  • A. hasHistoricalInterruptions
    Indicates that the continuity of an event, process, or relationship has been broken by one or more distinct interruptions over time.
  • B. hasInternationalBreaks
    Indicates that an entity includes or is subject to scheduled pauses or interruptions due to international events, activities, or obligations.
  • C. hasFortnight
    Indicates a relationship where an entity is associated with, spans, or is characterized by a time period of two weeks (a fortnight).
  • D. wasBlacklisted
    Indicates that an entity has been officially banned or excluded from participation, access, or consideration, typically due to disapproval or violation of rules.
  • E. hasBlock
    Indicates that one entity possesses, contains, or is associated with a specific block or blocking element in relation 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87c3a3c8190b60f19873ef6e1f8 completed April 1, 2026, 8:34 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc6745c17881908df72443e0800068 completed April 1, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:25 p.m.