Triple

T14690677
Position Surface form Disambiguated ID Type / Status
Subject Edward Anthony Masen E345024 entity
Predicate familyName P18 FINISHED
Object Masen
Masen is the fictional surname of Edward Cullen from the Twilight series, used to refer to his human identity, Edward Anthony Masen.
 E1114289 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: Masen | Statement: [Edward Anthony Masen, familyName, Masen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Masen
Context triple: [Edward Anthony Masen, familyName, Masen]
  • A. Masass
    Masass was a leader associated with the Northwest Indian Confederacy, a coalition of Native American tribes that resisted U.S. expansion in the late 18th and early 19th centuries.
  • B. Makeni
    Makeni is a major city in northern Sierra Leone that serves as an important commercial and transportation hub for the region.
  • C. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • D. Maasin
    Maasin is a coastal city in the Philippines that serves as the administrative, economic, and religious center of the province of Southern Leyte.
  • E. Mau
    Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
  • 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: Masen
Triple: [Edward Anthony Masen, familyName, Masen]
Generated description
Masen is the fictional surname of Edward Cullen from the Twilight series, used to refer to his human identity, Edward Anthony Masen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Masen
Target entity description: Masen is the fictional surname of Edward Cullen from the Twilight series, used to refer to his human identity, Edward Anthony Masen.
  • A. Masass
    Masass was a leader associated with the Northwest Indian Confederacy, a coalition of Native American tribes that resisted U.S. expansion in the late 18th and early 19th centuries.
  • B. Makeni
    Makeni is a major city in northern Sierra Leone that serves as an important commercial and transportation hub for the region.
  • C. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • D. Maasin
    Maasin is a coastal city in the Philippines that serves as the administrative, economic, and religious center of the province of Southern Leyte.
  • E. Mau
    Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde5fd6854819083957f2c653eb8b6 completed May 8, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69fde6ffc27881909427d24560011cdf completed May 8, 2026, 1:37 p.m.
Created at: April 10, 2026, 1:28 a.m.