Triple

T3764024
Position Surface form Disambiguated ID Type / Status
Subject Sean Connery E82626 entity
Predicate notableWork P4 FINISHED
Object Finding Forrester E320201 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: Finding Forrester | Statement: [Sean Connery, notableWork, Finding Forrester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finding Forrester
Context triple: [Sean Connery, notableWork, Finding Forrester]
  • A. Finding Forrester chosen
    Finding Forrester is a 2000 drama film about a reclusive writer who mentors a gifted young student, directed by Gus Van Sant.
  • B. Quills
    Quills is a 2000 period drama film that fictionalizes the final years of the Marquis de Sade, featuring Geoffrey Rush in a critically acclaimed leading role.
  • C. La voix
    "La voix" is an operatic pop song performed by Swedish mezzo-soprano Malena Ernman as Sweden’s entry in the Eurovision Song Contest 2009.
  • D. The Wonder
    The Wonder is a psychological period drama film in which Florence Pugh plays an English nurse sent to investigate a young Irish girl who appears to survive without eating.
  • E. Devil's Pie
    "Devil's Pie" is a soulful, funk-infused track by American R&B artist D'Angelo, known for its gritty social commentary and production by DJ Premier.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfd4be481908242c460a3f00c56 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51e54108190ab60e189cfbb0db0 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.