Triple

T3328079
Position Surface form Disambiguated ID Type / Status
Subject Ray Liotta E69965 entity
Predicate familyName P18 FINISHED
Object Liotta
Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
 E349294 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: Liotta | Statement: [Ray Liotta, familyName, Liotta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liotta
Context triple: [Ray Liotta, familyName, Liotta]
  • A. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • B. Neraudia
    Neraudia is a small genus of flowering plants in the hemp family Cannabaceae, native to Hawaii and known for its often rare and endemic shrub species.
  • C. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • D. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • E. Barellan
    Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
  • 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: Liotta
Triple: [Ray Liotta, familyName, Liotta]
Generated description
Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liotta
Target entity description: Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
  • A. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • B. Neraudia
    Neraudia is a small genus of flowering plants in the hemp family Cannabaceae, native to Hawaii and known for its often rare and endemic shrub species.
  • C. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • D. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • E. Barellan
    Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16f61248190bab10f4ac9e066f7 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ec9f48190873d90b678713bad completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c368e4c8190a011833fce090a7d completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31d3fa6088190a5abf858c01c25bc completed March 12, 2026, 8:08 p.m.
Created at: March 8, 2026, 3:12 p.m.