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.