Triple

T19829668
Position Surface form Disambiguated ID Type / Status
Subject Larenz Tate E476420 entity
Predicate spouse P13 FINISHED
Object Tomasina Parrott
Tomasina Parrott is an American actress and former dancer known for her film and television appearances and for being married to actor Larenz Tate.
E1397254 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: Tomasina Parrott | Statement: [Larenz Tate, spouse, Tomasina Parrott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomasina Parrott
Context triple: [Larenz Tate, spouse, Tomasina Parrott]
  • A. Joan Tompkins
    Joan Tompkins was an American character actress known for her work in mid-20th-century film and television.
  • B. Mary Cecilia Rogers
    Mary Cecilia Rogers was a 19th-century New York cigar-store clerk whose unsolved 1841 murder became a national sensation and inspired Edgar Allan Poe’s detective story "The Mystery of Marie Rogêt."
  • C. Mary Ellen Lancaster
    Mary Ellen Lancaster was the mother of the infamous American bank robber John Dillinger.
  • D. Cecilia Pawley
    Cecilia Pawley was the first wife of Group Captain Peter Townsend, a distinguished Royal Air Force officer closely associated with the British royal family.
  • E. Effie Perine
    Effie Perine is Sam Spade’s loyal and efficient secretary in Dashiell Hammett’s classic detective novel "The Maltese Falcon."
  • 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: Tomasina Parrott
Triple: [Larenz Tate, spouse, Tomasina Parrott]
Generated description
Tomasina Parrott is an American actress and former dancer known for her film and television appearances and for being married to actor Larenz Tate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tomasina Parrott
Target entity description: Tomasina Parrott is an American actress and former dancer known for her film and television appearances and for being married to actor Larenz Tate.
  • A. Joan Tompkins
    Joan Tompkins was an American character actress known for her work in mid-20th-century film and television.
  • B. Mary Cecilia Rogers
    Mary Cecilia Rogers was a 19th-century New York cigar-store clerk whose unsolved 1841 murder became a national sensation and inspired Edgar Allan Poe’s detective story "The Mystery of Marie Rogêt."
  • C. Mary Ellen Lancaster
    Mary Ellen Lancaster was the mother of the infamous American bank robber John Dillinger.
  • D. Cecilia Pawley
    Cecilia Pawley was the first wife of Group Captain Peter Townsend, a distinguished Royal Air Force officer closely associated with the British royal family.
  • E. Effie Perine
    Effie Perine is Sam Spade’s loyal and efficient secretary in Dashiell Hammett’s classic detective novel "The Maltese Falcon."
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656ccd3748190adeaed9a431f8979 completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd5e2e08190a4a416ce2a3e7a36 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07d01d78c481908faff4cb29e1494e completed May 16, 2026, 2:02 a.m.
NED2 Entity disambiguation (via description) batch_6a07d0d94c3881909ca241d22938637a completed May 16, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:50 p.m.