Triple

T10396633
Position Surface form Disambiguated ID Type / Status
Subject Tin Star E245036 entity
Predicate executiveProducer P7225 FINISHED
Object Gail Harvey
Gail Harvey is a Canadian film and television director and producer known for her work on numerous series and feature films.
E1015601 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: Gail Harvey | Statement: [Tin Star, executiveProducer, Gail Harvey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gail Harvey
Context triple: [Tin Star, executiveProducer, Gail Harvey]
  • A. Gail Hamilton
    Gail Hamilton was the pen name of 19th-century American author and essayist Mary Abigail Dodge, known for her sharp social commentary and advocacy for women's rights.
  • B. Gail Youngs
    Gail Youngs is an American actress known for her film and television roles in the 1980s, including appearances in movies like "The Stone Boy" and "Deadly Force."
  • C. Gail Jensen
    Gail Jensen was an American actress and the second wife of actor David Carradine.
  • D. Gail Lyon
    Gail Lyon is a film producer best known for her work on the gymnastics-themed comedy-drama movie "Stick It."
  • E. Gail Gregg
    Gail Gregg is an American artist and journalist known for her work in visual arts and for her connection to the prominent Sulzberger publishing family.
  • 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: Gail Harvey
Triple: [Tin Star, executiveProducer, Gail Harvey]
Generated description
Gail Harvey is a Canadian film and television director and producer known for her work on numerous series and feature films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gail Harvey
Target entity description: Gail Harvey is a Canadian film and television director and producer known for her work on numerous series and feature films.
  • A. Gail Hamilton
    Gail Hamilton was the pen name of 19th-century American author and essayist Mary Abigail Dodge, known for her sharp social commentary and advocacy for women's rights.
  • B. Gail Youngs
    Gail Youngs is an American actress known for her film and television roles in the 1980s, including appearances in movies like "The Stone Boy" and "Deadly Force."
  • C. Gail Jensen
    Gail Jensen was an American actress and the second wife of actor David Carradine.
  • D. Gail Lyon
    Gail Lyon is a film producer best known for her work on the gymnastics-themed comedy-drama movie "Stick It."
  • E. Gail Gregg
    Gail Gregg is an American artist and journalist known for her work in visual arts and for her connection to the prominent Sulzberger publishing family.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9cf79348190975d6c1791e3b621 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0ce0a508190a2f44cbe812b5f17 completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c20a1eb881908a28dc884c2005ef completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c34b9ec08190bb29458b6f43c388 completed May 3, 2026, 3:38 a.m.
Created at: April 6, 2026, 12:06 p.m.