Triple

T12081306
Position Surface form Disambiguated ID Type / Status
Subject Catherine Sloper E287683 entity
Predicate romanticOutcome P103097 FINISHED
Object remains unmarried 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: remains unmarried | Statement: [Catherine Sloper, romanticOutcome, remains unmarried]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanticOutcome
Context triple: [Catherine Sloper, romanticOutcome, remains unmarried]
  • A. romanticArc
    Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
  • B. romanticMisunderstandingsWith
    Indicates a situation where two entities experience confusion, misinterpretation, or mistaken beliefs about each other’s romantic feelings, intentions, or relationship status.
  • C. romanticTriangleInvolves
    Indicates a romantic relationship structure in which three individuals are mutually or asymmetrically involved in overlapping romantic connections.
  • D. romanceObstructedBy
    Indicates that a romantic relationship or potential romance is being hindered, blocked, or prevented by some opposing factor or circumstance.
  • E. relationshipOutcome
    Indicates the result or consequence that arises from a particular relationship between two or more entities.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902bf4f508190842927e7e0642235 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d91006e14081909838412df082f794 completed April 10, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:48 p.m.