Triple

T17438443
Position Surface form Disambiguated ID Type / Status
Subject Headphones E424075 entity
Predicate hasCreator P806 FINISHED
Object M.O.
M.O. is a British singer and songwriter known for her R&B and pop-influenced music and collaborations within the UK music scene.
E1274153 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: M.O. | Statement: [Headphones, hasCreator, M.O.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M.O.
Context triple: [Headphones, hasCreator, M.O.]
  • A. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • B. M.O.
    M.O. is a British girl group known for their R&B and pop sound, blending 90s-inspired harmonies with contemporary production.
  • C. M.O.
    M.O. is a character whose actions and storyline are followed in the television series "Heartland."
  • D. M.O.
    M.O. is a song released as a single from the track "Hey Porsche."
  • E. moe.
    moe. is an American jam band known for its improvisational live performances, eclectic rock sound, and devoted fanbase within the jam-band scene.
  • 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: M.O.
Triple: [Headphones, hasCreator, M.O.]
Generated description
M.O. is a British singer and songwriter known for her R&B and pop-influenced music and collaborations within the UK music scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M.O.
Target entity description: M.O. is a British singer and songwriter known for her R&B and pop-influenced music and collaborations within the UK music scene.
  • A. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • B. M.O.
    M.O. is a character whose actions and storyline are followed in the television series "Heartland."
  • C. M.O.
    M.O. is a song released as a single from the track "Hey Porsche."
  • D. M.O. chosen
    M.O. is a British girl group known for their R&B and pop sound, blending 90s-inspired harmonies with contemporary production.
  • E. moe.
    moe. is an American jam band known for its improvisational live performances, eclectic rock sound, and devoted fanbase within the jam-band scene.
  • F. None of above.

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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff584cc81908207c163f19ff972 completed April 19, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e806a5548190bad1985a55382758 completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01ef5eba508190b35876cc60b0dc60 completed May 11, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a01ef87c62c8190b9a3cd936542d7b4 completed May 11, 2026, 3:02 p.m.
Created at: April 10, 2026, 5:46 a.m.