Triple

T10738390
Position Surface form Disambiguated ID Type / Status
Subject Sense and Sensibility (1995 film) score E253253 entity
Predicate supportsMood P95726 FINISHED
Object romantic drama 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: romantic drama | Statement: [Sense and Sensibility (1995 film) score, supportsMood, romantic drama]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMood
Context triple: [Sense and Sensibility (1995 film) score, supportsMood, romantic drama]
  • A. supportedAct
    Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
  • B. supportsValue
    Indicates that one entity provides justification, evidence, or backing for the truth, relevance, or appropriateness of a particular value associated with another entity.
  • C. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • D. supportsAlbum
    Indicates that one entity provides backing, endorsement, or resources for the creation, promotion, or distribution of a specific music album.
  • E. supportAgainst
    Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
PD Predicate disambiguation batch_69d6f30df9948190ab3cdc33977fac14 completed April 9, 2026, 12:30 a.m.
PDg Predicate description generation batch_69d6fa323564819097b207eb53f8a9b8 completed April 9, 2026, 1 a.m.
Created at: April 8, 2026, 9:14 p.m.