Triple

T5018729
Position Surface form Disambiguated ID Type / Status
Subject Poussey Washington E112797 entity
Predicate hasFriend P8712 FINISHED
Object Lorna Morello
Lorna Morello is a romantically fixated, fashion-conscious inmate in the television series "Orange Is the New Black," known for her distinctive accent and unstable relationships.
E526247 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: Lorna Morello | Statement: [Poussey Washington, hasFriend, Lorna Morello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorna Morello
Context triple: [Poussey Washington, hasFriend, Lorna Morello]
  • A. Melissa Rycroft
    Melissa Rycroft is an American television personality and former Dallas Cowboys Cheerleader best known for her appearances on reality shows such as The Bachelor and Dancing with the Stars.
  • B. Melanie Sorich
    Melanie Sorich is the wife of American character actor Clint Howard.
  • C. Mary Morello
    Mary Morello is an American activist and former schoolteacher best known as the mother of Rage Against the Machine guitarist Tom Morello.
  • D. Janel Moloney
    Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
  • E. Lana Morris
    Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
  • 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: Lorna Morello
Triple: [Poussey Washington, hasFriend, Lorna Morello]
Generated description
Lorna Morello is a romantically fixated, fashion-conscious inmate in the television series "Orange Is the New Black," known for her distinctive accent and unstable relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorna Morello
Target entity description: Lorna Morello is a romantically fixated, fashion-conscious inmate in the television series "Orange Is the New Black," known for her distinctive accent and unstable relationships.
  • A. Melissa Rycroft
    Melissa Rycroft is an American television personality and former Dallas Cowboys Cheerleader best known for her appearances on reality shows such as The Bachelor and Dancing with the Stars.
  • B. Melanie Sorich
    Melanie Sorich is the wife of American character actor Clint Howard.
  • C. Mary Morello
    Mary Morello is an American activist and former schoolteacher best known as the mother of Rage Against the Machine guitarist Tom Morello.
  • D. Janel Moloney
    Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
  • E. Lana Morris
    Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73415e088190802f9bb283262386 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfb1324c2c8190ba2a1c5708ba88e5 completed March 22, 2026, 9:06 a.m.
NEDg Description generation batch_69bfb3ee90b88190824cb38352d3bd14 completed March 22, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_69bfb566298c8190b8db9cdb7a7c13fc completed March 22, 2026, 9:24 a.m.
Created at: March 20, 2026, 1:35 p.m.