Triple

T4578991
Position Surface form Disambiguated ID Type / Status
Subject Bryan Stevenson E101807 entity
Predicate notableWork P4 FINISHED
Object Just Mercy E297209 NE 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: Just Mercy | Statement: [Bryan Stevenson, notableWork, Just Mercy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Just Mercy
Context triple: [Bryan Stevenson, notableWork, Just Mercy]
  • A. Just Mercy chosen
    Just Mercy is a legal drama film based on Bryan Stevenson's memoir, following a young defense attorney's fight to overturn the wrongful conviction of a death row inmate in Alabama.
  • B. A Time to Kill
    A Time to Kill is a 1996 legal drama film based on John Grisham's novel, centered on a racially charged trial in Mississippi.
  • C. Verdão
    Verdão is the popular nickname of Sociedade Esportiva Palmeiras, one of Brazil’s most successful and traditional football clubs.
  • D. The Beautiful Struggle
    The Beautiful Struggle is Ta-Nehisi Coates’s coming-of-age memoir about growing up in Baltimore amid violence, hip-hop culture, and his father’s Black nationalist ideals.
  • E. Selma
    Selma is a small suburban city in the San Antonio metropolitan area of south-central Texas, known for its residential communities and proximity to major regional highways and attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e3e028819083c4662deb9f3c03 completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3ee510481909d481b157bd0b2bd completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.