Triple

T27102521
Position Surface form Disambiguated ID Type / Status
Subject Randy Taylor E686478 entity
Predicate episodeCountApproximate P2593 FINISHED
Object appears in most early and middle seasons of Home Improvement 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: appears in most early and middle seasons of Home Improvement | Statement: [Randy Taylor, episodeCountApproximate, appears in most early and middle seasons of Home Improvement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: episodeCountApproximate
Context triple: [Randy Taylor, episodeCountApproximate, appears in most early and middle seasons of Home Improvement]
  • A. numberOfEpisodes chosen
    Indicates the total count of episodes associated with a given entity, such as a series or season.
  • B. hasNumberOfEPs
    Indicates the quantity or count of EPs (e.g., episodes, extended plays, or similar units) associated with an entity.
  • C. partOfEpisodeCount
    Indicates that one entity specifies the number of episodes contained within another entity (such as a season, series, or collection).
  • D. sectionCountApproximate
    Indicates that the number of sections associated with an entity is known only approximately rather than as an exact count.
  • E. originallyPlannedNumberOfEpisodes
    Indicates the total number of episodes that were initially intended or planned for a series or program before any changes occurred.
  • 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_69ef1489f8b481908e24a1985982bd26 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f623b76bec8190ad8f66180c8ecbd4 completed May 2, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69f61b40f02081909bd9c3ea73249163 completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 8:48 a.m.