Triple

T12420169
Position Surface form Disambiguated ID Type / Status
Subject Paula Weinstein E296746 entity
Predicate notableWork P4 FINISHED
Object Recount E583210 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: Recount | Statement: [Paula Weinstein, notableWork, Recount]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Recount
Context triple: [Paula Weinstein, notableWork, Recount]
  • A. Recount
    Recount is a 2008 HBO political drama film that chronicles the tumultuous aftermath of the 2000 U.S. presidential election and the Florida vote recount.
  • B. Recollects
    The Recollects are a Catholic religious order of Augustinian origin known for their missionary work and establishment of parishes and missions in the Philippines during the Spanish colonial period.
  • C. A Narrative
    "A Narrative" is a written work by Francis Bond Head, likely recounting his experiences or observations in a descriptive, first-person style.
  • D. Recount (HBO film) chosen
    Recount is a 2008 HBO political drama film that dramatizes the events and legal battles surrounding the disputed 2000 United States presidential election in Florida.
  • E. Chronicle
    Chronicle is an early Christian universal history by Eusebius of Caesarea that synchronizes biblical events with secular historical timelines.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634933b9881909fd592ede7c3e49c completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.