Triple

T19342232
Position Surface form Disambiguated ID Type / Status
Subject Muse, Pennsylvania E483784 entity
Predicate hasName P744 FINISHED
Object Muse
Muse is a small unincorporated community located in Washington County, Pennsylvania, United States.
 E1371309 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: Muse | Statement: [Muse, Pennsylvania, hasName, Muse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muse
Context triple: [Muse, Pennsylvania, hasName, Muse]
  • A. Muse
    Muse is a major border town in Myanmar’s Shan State that serves as a key trade gateway between Myanmar and China.
  • B. Muse
    Muse is a British rock band known for its dramatic fusion of alternative rock, progressive elements, and electronic influences, as well as its theatrical live performances.
  • C. Muse
    Muse is a masculine given name most notably borne by American actor Muse Watson.
  • D. MUSE
    MUSE is an advanced integral-field spectrograph used in optical astronomy to capture detailed spatial and spectral information from celestial objects.
  • E. MUSE
    MUSE is a prominent science museum in Trento, Italy, known for its interactive exhibits on nature, technology, and sustainability.
  • 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: Muse
Triple: [Muse, Pennsylvania, hasName, Muse]
Generated description
Muse is a small unincorporated community located in Washington County, Pennsylvania, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muse
Target entity description: Muse is a small unincorporated community located in Washington County, Pennsylvania, United States.
  • A. Muse
    Muse is a British rock band known for its dramatic fusion of alternative rock, progressive elements, and electronic influences, as well as its theatrical live performances.
  • B. Muse
    Muse is a masculine given name most notably borne by American actor Muse Watson.
  • C. Muse
    Muse is a major border town in Myanmar’s Shan State that serves as a key trade gateway between Myanmar and China.
  • D. MUSE
    MUSE is an advanced integral-field spectrograph used in optical astronomy to capture detailed spatial and spectral information from celestial objects.
  • E. MUSE
    MUSE is a prominent science museum in Trento, Italy, known for its interactive exhibits on nature, technology, and sustainability.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185795bc8190a63061ca794c0d67 completed April 20, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be916a881909afdc2b0811f4795 completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071c8a9dec8190a4fbb88736b73912 completed May 15, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_6a071e0e00208190a6e05266d5bc47e2 completed May 15, 2026, 1:22 p.m.
Created at: April 10, 2026, 1:33 p.m.