Triple

T16328752
Position Surface form Disambiguated ID Type / Status
Subject Martin family E396490 entity
Predicate storylinesInclude P122975 FINISHED
Object marriage and divorce arcs 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: marriage and divorce arcs | Statement: [Martin family, storylinesInclude, marriage and divorce arcs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: storylinesInclude
Context triple: [Martin family, storylinesInclude, marriage and divorce arcs]
  • A. storyline
    Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
  • B. storyboardedBy
    Indicates that a visual narrative work (such as a film, animation, or sequence) has its scenes or shots planned and illustrated by a specific storyboard artist or creator.
  • C. notableRecentStoryline
    Indicates that there is a particularly significant or newsworthy recent sequence of events or developments involving the subject.
  • D. followsStoryOf
    Indicates that one narrative, account, or storyline continues from, is based on, or is derived from the events or structure of another.
  • E. stakesInStory
    Indicates that one entity has a personal investment, risk, or potential gain/loss tied to the outcome of another entity’s story or narrative.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4ddc5608190b24fe2e871691470 completed April 17, 2026, 11:40 p.m.
PD Predicate disambiguation batch_69e226eba9b48190af6e80d3d1c2aed3 completed April 17, 2026, 12:26 p.m.
PDg Predicate description generation batch_69e24555bb6c8190977cf5c5f9149056 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:07 a.m.