Triple

T2152098
Position Surface form Disambiguated ID Type / Status
Subject Matthew Modine E47801 entity
Predicate notableWork P4 FINISHED
Object Weeds
Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
E243476 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: Weeds | Statement: [Matthew Modine, notableWork, Weeds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weeds
Context triple: [Matthew Modine, notableWork, Weeds]
  • A. Weeds
    Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
  • B. Rushes
    "Rushes" is a notable work by the artist known as The Fireman, the experimental music project of Paul McCartney and producer Youth.
  • C. Harvest
    Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
  • D. Rockpile
    Rockpile is a renowned American Viticultural Area in Sonoma County, California, known for its high-elevation vineyards and intensely flavored Zinfandel wines.
  • E. Shadows on the Grass
    "Shadows on the Grass" is a memoir by Karen Blixen (Isak Dinesen) that revisits her years in colonial Kenya through reflective, nostalgic essays that complement her earlier work "Out of Africa."
  • 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: Weeds
Triple: [Matthew Modine, notableWork, Weeds]
Generated description
Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weeds
Target entity description: Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
  • A. Weeds
    Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
  • B. Rushes
    "Rushes" is a notable work by the artist known as The Fireman, the experimental music project of Paul McCartney and producer Youth.
  • C. Harvest
    Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
  • D. Rockpile
    Rockpile is a renowned American Viticultural Area in Sonoma County, California, known for its high-elevation vineyards and intensely flavored Zinfandel wines.
  • E. Shadows on the Grass
    "Shadows on the Grass" is a memoir by Karen Blixen (Isak Dinesen) that revisits her years in colonial Kenya through reflective, nostalgic essays that complement her earlier work "Out of Africa."
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe48ad148190a7d6cc88fd38a660 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d940bec8190998ef88ed44e5811 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae615a4ccc8190845b952892fe647a completed March 9, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_69ae61aab87c8190bb81b475f3a038f8 completed March 9, 2026, 5:59 a.m.
Created at: March 4, 2026, 7:44 p.m.