Triple

T34083766
Position Surface form Disambiguated ID Type / Status
Subject Marries former escort Willa Ferreyra E874119 entity
Predicate precedesPotentialOutcome P57884 FINISHED
Object politicalAmbitionsForConnorRoy 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: politicalAmbitionsForConnorRoy | Statement: [Marries former escort Willa Ferreyra, precedesPotentialOutcome, politicalAmbitionsForConnorRoy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: precedesPotentialOutcome
Context triple: [Marries former escort Willa Ferreyra, precedesPotentialOutcome, politicalAmbitionsForConnorRoy]
  • A. precedesDisc
    Indicates that one discourse segment or unit occurs before another in the sequence of discourse.
  • B. preDeterminedOutcomes
    Indicates that the outcomes of an event or process are fixed in advance and not influenced by subsequent actions or conditions.
  • C. precursorActivity chosen
    Indicates that one activity occurs earlier and contributes causally or preparatorily to the initiation of another activity.
  • D. precedesInStability
    Indicates that one entity is more stable than another, coming earlier in an ordering based on stability.
  • E. precedesInUniverse
    Indicates that one event or entity occurs earlier than another within the timeline or causal order of a given fictional or conceptual universe.
  • 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_69f349a61d448190b74642f325d3eb7a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd32848ea88190a71e6df402bbb30e completed May 8, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69fd2d7e95588190991d5f21e25155df completed May 8, 2026, 12:25 a.m.
Created at: May 1, 2026, 1:52 a.m.