Triple

T8037635
Position Surface form Disambiguated ID Type / Status
Subject Sally Menke E187148 entity
Predicate editedFilm P14416 FINISHED
Object Mulholland Falls
Mulholland Falls is a 1996 neo-noir crime thriller film set in 1950s Los Angeles, following a hard-edged LAPD squad as they investigate a mysterious murder tied to government secrets.
E708610 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: Mulholland Falls | Statement: [Sally Menke, editedFilm, Mulholland Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mulholland Falls
Context triple: [Sally Menke, editedFilm, Mulholland Falls]
  • A. Paradise Falls
    Paradise Falls is the remote, towering South American waterfall and cliffside destination central to the adventure in Pixar's animated film "Up."
  • B. Hillside
    Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
  • C. Hillside
    Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
  • D. Hillside
    Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
  • E. Riverhouse
    Riverhouse is a luxury eco-friendly residential condominium building located in Manhattan’s Battery Park City neighborhood.
  • 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: Mulholland Falls
Triple: [Sally Menke, editedFilm, Mulholland Falls]
Generated description
Mulholland Falls is a 1996 neo-noir crime thriller film set in 1950s Los Angeles, following a hard-edged LAPD squad as they investigate a mysterious murder tied to government secrets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mulholland Falls
Target entity description: Mulholland Falls is a 1996 neo-noir crime thriller film set in 1950s Los Angeles, following a hard-edged LAPD squad as they investigate a mysterious murder tied to government secrets.
  • A. Paradise Falls
    Paradise Falls is the remote, towering South American waterfall and cliffside destination central to the adventure in Pixar's animated film "Up."
  • B. Hillside
    Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
  • C. Hillside
    Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
  • D. Hillside
    Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
  • E. Riverhouse
    Riverhouse is a luxury eco-friendly residential condominium building located in Manhattan’s Battery Park City neighborhood.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f19a6b4819085e2887fb0c54d08 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56fa97ac8190a0bd646d9ec345e4 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58abd96c8190ab9eeaece67d5408 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cc2f71081909cb7c0c245368edb completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:23 p.m.