Triple

T14398168
Position Surface form Disambiguated ID Type / Status
Subject Edtv E357003 entity
Predicate mainCastMember P5563 FINISHED
Object Sally Kirkland
Sally Kirkland is an American actress known for her prolific film and television career, including an Academy Award–nominated performance in "Anna."
E1111612 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: Sally Kirkland | Statement: [Edtv, mainCastMember, Sally Kirkland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sally Kirkland
Context triple: [Edtv, mainCastMember, Sally Kirkland]
  • A. Diane Millstead
    Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
  • B. JoAnne Sellar
    JoAnne Sellar is a British film producer best known for her long-time collaboration with director Paul Thomas Anderson on critically acclaimed films such as "There Will Be Blood."
  • C. Sherry Palmer
    Sherry Palmer is a fictional character from the television series "24," known as the ambitious and manipulative wife of Senator and later President David Palmer.
  • D. Sally Elliott
    Sally Elliott is a fictional character featured in the 1942 musical film "My Gal Sal."
  • E. Judy Campbell
    Judy Campbell was a British actress known for her stage and film work in the mid-20th century, particularly in plays by Noël Coward.
  • 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: Sally Kirkland
Triple: [Edtv, mainCastMember, Sally Kirkland]
Generated description
Sally Kirkland is an American actress known for her prolific film and television career, including an Academy Award–nominated performance in "Anna."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sally Kirkland
Target entity description: Sally Kirkland is an American actress known for her prolific film and television career, including an Academy Award–nominated performance in "Anna."
  • A. Diane Millstead
    Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
  • B. JoAnne Sellar
    JoAnne Sellar is a British film producer best known for her long-time collaboration with director Paul Thomas Anderson on critically acclaimed films such as "There Will Be Blood."
  • C. Sherry Palmer
    Sherry Palmer is a fictional character from the television series "24," known as the ambitious and manipulative wife of Senator and later President David Palmer.
  • D. Sally Elliott
    Sally Elliott is a fictional character featured in the 1942 musical film "My Gal Sal."
  • E. Judy Campbell
    Judy Campbell was a British actress known for her stage and film work in the mid-20th century, particularly in plays by Noël Coward.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5be63848190aa71f009ceaea1b3 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd7002ae08190964482d91f45d4cd completed May 8, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69fdd771cb188190b44d6e4903fa8f6e completed May 8, 2026, 12:30 p.m.
Created at: April 10, 2026, 1:17 a.m.