Triple

T1801373
Position Surface form Disambiguated ID Type / Status
Subject Press for Time E39725 entity
Predicate starring P1507 FINISHED
Object Angela Browne
Angela Browne was a British actress known for her film and television roles in the 1950s and 1960s.
 E220418 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: Angela Browne | Statement: [Press for Time, starring, Angela Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angela Browne
Context triple: [Press for Time, starring, Angela Browne]
  • A. Angela Birney
    Angela Birney is an American local politician who serves as the mayor of Redmond, Washington.
  • B. Angela James
    Angela James is a pioneering Canadian ice hockey player widely regarded as one of the greatest women’s players of all time and a trailblazer for the women’s game.
  • C. Angela Byrd
    Angela Byrd is known as the wife of former New York Jets defensive lineman Dennis Byrd, who became widely recognized following his career-ending spinal injury and subsequent inspirational recovery.
  • D. Dawn Laurel-Jones
    Dawn Laurel-Jones is a photographer and the wife of American actor and filmmaker Tommy Lee Jones.
  • E. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • 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: Angela Browne
Triple: [Press for Time, starring, Angela Browne]
Generated description
Angela Browne was a British actress known for her film and television roles in the 1950s and 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angela Browne
Target entity description: Angela Browne was a British actress known for her film and television roles in the 1950s and 1960s.
  • A. Angela Birney
    Angela Birney is an American local politician who serves as the mayor of Redmond, Washington.
  • B. Angela James
    Angela James is a pioneering Canadian ice hockey player widely regarded as one of the greatest women’s players of all time and a trailblazer for the women’s game.
  • C. Angela Byrd
    Angela Byrd is known as the wife of former New York Jets defensive lineman Dennis Byrd, who became widely recognized following his career-ending spinal injury and subsequent inspirational recovery.
  • D. Dawn Laurel-Jones
    Dawn Laurel-Jones is a photographer and the wife of American actor and filmmaker Tommy Lee Jones.
  • E. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656ad5d4819090e677ad137b0cd1 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfb9c69488190abcbbf796176fca5 completed March 8, 2026, 10:43 p.m.
NEDg Description generation batch_69adfc50a3488190afe44ee5125d9ebd completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfcdccce48190a2591b90c81ad084 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:32 p.m.