Triple

T11157518
Position Surface form Disambiguated ID Type / Status
Subject Internal Affairs E263948 entity
Predicate character P662 FINISHED
Object Kathleen Avila
Kathleen Avila is a fictional character appearing in the crime drama film "Internal Affairs."
 E931665 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: Kathleen Avila | Statement: [Internal Affairs, character, Kathleen Avila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kathleen Avila
Context triple: [Internal Affairs, character, Kathleen Avila]
  • A. Kathleen Blanco
    Kathleen Blanco was an American Democratic politician who served as the first female governor of Louisiana, leading the state during the devastation of Hurricane Katrina.
  • B. Patricia Alvaran
    Patricia Alvaran is known as the former wife of American actor Tom Berenger.
  • C. Karen Peralta
    Karen Peralta is a character in the television series "Brooklyn Nine-Nine," known as the mother of main protagonist Jake Peralta.
  • D. Lisa Benavides
    Lisa Benavides is an American actress known for her work in independent films and as the wife of actor-director Tim Blake Nelson.
  • E. Valerie Cruz
    Valerie Cruz is an American actress known for her roles in television series such as Off the Map, Dexter, and True Blood.
  • 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: Kathleen Avila
Triple: [Internal Affairs, character, Kathleen Avila]
Generated description
Kathleen Avila is a fictional character appearing in the crime drama film "Internal Affairs."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kathleen Avila
Target entity description: Kathleen Avila is a fictional character appearing in the crime drama film "Internal Affairs."
  • A. Kathleen Blanco
    Kathleen Blanco was an American Democratic politician who served as the first female governor of Louisiana, leading the state during the devastation of Hurricane Katrina.
  • B. Patricia Alvaran
    Patricia Alvaran is known as the former wife of American actor Tom Berenger.
  • C. Karen Peralta
    Karen Peralta is a character in the television series "Brooklyn Nine-Nine," known as the mother of main protagonist Jake Peralta.
  • D. Lisa Benavides
    Lisa Benavides is an American actress known for her work in independent films and as the wife of actor-director Tim Blake Nelson.
  • E. Valerie Cruz
    Valerie Cruz is an American actress known for her roles in television series such as Off the Map, Dexter, and True Blood.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6849dbff08190a352eaaea8606bdb completed April 20, 2026, 7:55 p.m.
NEDg Description generation batch_69e68ce8d7988190a0dd3abe5f2afc97 completed April 20, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:28 p.m.