Triple

T3498319
Position Surface form Disambiguated ID Type / Status
Subject Barry Levinson E73903 entity
Predicate notableWork P4 FINISHED
Object The Bay
The Bay is a 2012 found-footage horror film directed by Barry Levinson that depicts a deadly parasitic outbreak in a small Maryland town.
E362452 NE FINISHED

How this triple was built (4 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: The Bay | Statement: [Barry Levinson, notableWork, The Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bay
Context triple: [Barry Levinson, notableWork, The Bay]
  • A. The Bay
    The Bay is a major Canadian department store chain offering a wide range of fashion, home goods, and accessories.
  • B. The Bight
    The Bight is a coastal community on the island of Providenciales in the Turks and Caicos Islands, known for its proximity to Grace Bay and popular resort and beach areas.
  • C. Seaside
    Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
  • D. Seaside
    Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
  • E. Waterfront
    The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Bay
Triple: [Barry Levinson, notableWork, The Bay]
Generated description
The Bay is a 2012 found-footage horror film directed by Barry Levinson that depicts a deadly parasitic outbreak in a small Maryland town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Bay
Target entity description: The Bay is a 2012 found-footage horror film directed by Barry Levinson that depicts a deadly parasitic outbreak in a small Maryland town.
  • A. The Bay
    The Bay is a major Canadian department store chain offering a wide range of fashion, home goods, and accessories.
  • B. The Bight
    The Bight is a coastal community on the island of Providenciales in the Turks and Caicos Islands, known for its proximity to Grace Bay and popular resort and beach areas.
  • C. Seaside
    Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
  • D. Seaside
    Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
  • E. Waterfront
    The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
  • F. None of above. chosen

Provenance (5 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d2ef9c819087458a0ac02d4596 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b375532e14819083e86362daa3c3b5 completed March 13, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69b375afa3a881909b41ee75c18f89d9 completed March 13, 2026, 2:25 a.m.
Created at: March 8, 2026, 3:18 p.m.