Triple

T4450323
Position Surface form Disambiguated ID Type / Status
Subject Alyssa Milano E97591 entity
Predicate givenName P17 FINISHED
Object Alyssa
Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
 E439124 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: Alyssa | Statement: [Alyssa Milano, givenName, Alyssa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alyssa
Context triple: [Alyssa Milano, givenName, Alyssa]
  • A. Ashley
    Ashley is a character featured in the animated children’s series "¡Dos!"
  • B. Ashley
    Ashley is a given name commonly used in English-speaking countries for both males and females.
  • C. Ashley
    Ashley is a small village and civil parish located within the county of Suffolk in eastern England.
  • D. Alana
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • E. Amanda
    Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
  • 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: Alyssa
Triple: [Alyssa Milano, givenName, Alyssa]
Generated description
Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alyssa
Target entity description: Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
  • A. Ashley
    Ashley is a character featured in the animated children’s series "¡Dos!"
  • B. Ashley
    Ashley is a given name commonly used in English-speaking countries for both males and females.
  • C. Ashley
    Ashley is a small village and civil parish located within the county of Suffolk in eastern England.
  • D. Alana
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • E. Amanda
    Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f2377c8190b0176b4c6776815e completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613895488819083140ae9f0ddba5e completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b61464b0dc81909cab007115435b8b completed March 15, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_69b6151440648190bf8c1c95e20caf13 completed March 15, 2026, 2:10 a.m.
Created at: March 12, 2026, 11:32 p.m.