Triple

T18131685
Position Surface form Disambiguated ID Type / Status
Subject Jessica Lucas E434027 entity
Predicate notableWork P4 FINISHED
Object Gracepoint NE NERFINISHED

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: Gracepoint | Statement: [Jessica Lucas, notableWork, Gracepoint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gracepoint
Context triple: [Jessica Lucas, notableWork, Gracepoint]
  • A. Gracepoint chosen
    Gracepoint is an American crime drama television miniseries adapted from the British series Broadchurch, centered on the investigation of a young boy’s murder in a small coastal town.
  • B. Inspiration Point
    Inspiration Point is a scenic overlook known for its panoramic views of Emerald Bay and the surrounding Lake Tahoe landscape.
  • C. Inspiration Point
    Inspiration Point is a scenic overlook and gathering area within San Diego’s Balboa Park, known for its expansive views and open event spaces.
  • D. Inspiration Point
    Inspiration Point is a scenic overlook in Letchworth State Park known for its sweeping views of the Genesee River gorge and surrounding waterfalls.
  • E. Inspiration Point
    Inspiration Point is a popular scenic overlook and trailhead within Tilden Regional Park in the Berkeley Hills, offering expansive views of the San Francisco Bay Area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf2c68881909dfbe59df15ddccc completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.