Triple

T5602099
Position Surface form Disambiguated ID Type / Status
Subject John Oliver E147142 entity
Predicate hasNotableSegmentType P3574 FINISHED
Object long-form investigative monologue 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: long-form investigative monologue | Statement: [John Oliver, hasNotableSegmentType, long-form investigative monologue]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableSegmentType
Context triple: [John Oliver, hasNotableSegmentType, long-form investigative monologue]
  • A. hasNotableSegment chosen
    Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
  • B. notableSegmentType
    Indicates that a particular segment or portion of something is classified as being of notable or special significance by its type.
  • C. hasSegmentType
    Indicates that an entity is associated with, or classified by, a particular type or category of segment within a larger structure or sequence.
  • D. hasNotableType
    Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
  • E. hasSegmentOn
    Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
  • F. None of above.

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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020dbd6dc8190ba011876c205754e completed March 22, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69c01b1890ec8190b9e6fa488792e4d4 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:39 p.m.