Triple

T2215155
Position Surface form Disambiguated ID Type / Status
Subject The Fighter E48013 entity
Predicate editor P1954 FINISHED
Object Pamela Martin
Pamela Martin is an American film editor known for her work on acclaimed movies such as "The Fighter" and "Little Miss Sunshine."
E458105 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: Pamela Martin | Statement: [The Fighter, editor, Pamela Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamela Martin
Context triple: [The Fighter, editor, Pamela Martin]
  • A. Pamela Brown
    Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
  • B. Pamela Goynes-Brown
    Pamela Goynes-Brown is an American politician who serves as the mayor of North Las Vegas, Nevada.
  • C. Pamela Evette
    Pamela Evette is an American businesswoman and Republican politician who serves as the lieutenant governor of South Carolina.
  • D. Pamela Fry
    Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
  • E. 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.
  • 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: Pamela Martin
Triple: [The Fighter, editor, Pamela Martin]
Generated description
Pamela Martin is an American film editor known for her work on acclaimed movies such as "The Fighter" and "Little Miss Sunshine."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pamela Martin
Target entity description: Pamela Martin is an American film editor known for her work on acclaimed movies such as "The Fighter" and "Little Miss Sunshine."
  • A. Pamela Brown
    Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
  • B. Pamela Goynes-Brown
    Pamela Goynes-Brown is an American politician who serves as the mayor of North Las Vegas, Nevada.
  • C. Pamela Evette
    Pamela Evette is an American businesswoman and Republican politician who serves as the lieutenant governor of South Carolina.
  • D. Pamela Fry
    Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
  • E. 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.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbff11574819091d1b50d637ae767 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69bdf9e0af508190adbd16c718d996e2 completed March 21, 2026, 1:52 a.m.
NEDg Description generation batch_69bdfb36a18481908bb566db970b101a completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbc9bea48190a8a0bf13c6fa7191 completed March 21, 2026, 2 a.m.
Created at: March 4, 2026, 7:46 p.m.