Triple

T11992426
Position Surface form Disambiguated ID Type / Status
Subject Sarah Green E285439 entity
Predicate notableWork P4 FINISHED
Object Mud
Mud is a work created by Sarah Green, likely a notable piece in her artistic or literary portfolio.
 E958561 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: Mud | Statement: [Sarah Green, notableWork, Mud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mud
Context triple: [Sarah Green, notableWork, Mud]
  • A. Mud
    Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
  • B. The Mud Vision
    The Mud Vision is a poem by Seamus Heaney that appears in his 1987 collection "The Haw Lantern."
  • C. Mudboy
    Mudboy is the debut studio album by American rapper Sheck Wes, featuring his breakout hit "Mo Bamba" and establishing his raw, energetic style.
  • D. Quicksand
    Quicksand is an influential American post-hardcore band known for its heavy, melodic sound and role in shaping 1990s alternative rock.
  • E. Quicksand
    "Quicksand" is a 1963 Motown soul single by Martha and the Vandellas, known for its driving beat and passionate vocals characteristic of the group's early hits.
  • 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: Mud
Triple: [Sarah Green, notableWork, Mud]
Generated description
Mud is a work created by Sarah Green, likely a notable piece in her artistic or literary portfolio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mud
Target entity description: Mud is a work created by Sarah Green, likely a notable piece in her artistic or literary portfolio.
  • A. Mud
    Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
  • B. The Mud Vision
    The Mud Vision is a poem by Seamus Heaney that appears in his 1987 collection "The Haw Lantern."
  • C. Mudboy
    Mudboy is the debut studio album by American rapper Sheck Wes, featuring his breakout hit "Mo Bamba" and establishing his raw, energetic style.
  • D. Quicksand
    "Quicksand" is a 1963 Motown soul single by Martha and the Vandellas, known for its driving beat and passionate vocals characteristic of the group's early hits.
  • E. Quicksand
    Quicksand is an influential American post-hardcore band known for its heavy, melodic sound and role in shaping 1990s alternative rock.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4726696dc8190bf2a7aa43cb08b19 completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7d4ef081908f7f87d90c00d9ed completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47de8c9e48190af01918c9cd94c7d completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.