Triple
T1181034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Money Monster |
E25136
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Caitriona Balfe
Caitriona Balfe is an Irish actress and former fashion model best known for her lead role as Claire Fraser in the television series "Outlander."
|
E149442
|
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: Caitriona Balfe | Statement: [Money Monster, starring, Caitriona Balfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caitriona Balfe Context triple: [Money Monster, starring, Caitriona Balfe]
-
A.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
B.
Romola Garai
Romola Garai is an English actress known for her performances in period dramas and literary adaptations in film and television.
-
C.
Alafair Burke
Alafair Burke is an American crime novelist, law professor, and former prosecutor known for her contemporary suspense novels and collaborations on bestselling mystery series.
-
D.
Emilia Clarke
Emilia Clarke is an English actress best known for her role as Daenerys Targaryen in the television series "Game of Thrones."
-
E.
Alice Eve
Alice Eve is a British actress known for her roles in films such as "Star Trek Into Darkness," "She's Out of My League," and "Men in Black 3."
- 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: Caitriona Balfe Triple: [Money Monster, starring, Caitriona Balfe]
Generated description
Caitriona Balfe is an Irish actress and former fashion model best known for her lead role as Claire Fraser in the television series "Outlander."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caitriona Balfe Target entity description: Caitriona Balfe is an Irish actress and former fashion model best known for her lead role as Claire Fraser in the television series "Outlander."
-
A.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
B.
Romola Garai
Romola Garai is an English actress known for her performances in period dramas and literary adaptations in film and television.
-
C.
Alafair Burke
Alafair Burke is an American crime novelist, law professor, and former prosecutor known for her contemporary suspense novels and collaborations on bestselling mystery series.
-
D.
Emilia Clarke
Emilia Clarke is an English actress best known for her role as Daenerys Targaryen in the television series "Game of Thrones."
-
E.
Alice Eve
Alice Eve is a British actress known for her roles in films such as "Star Trek Into Darkness," "She's Out of My League," and "Men in Black 3."
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2f6f3e4819099310a5e21455c21 |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb3ff59488190a05fd3400e76dd56 |
completed | March 7, 2026, 11:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb47f0b088190b3eb32101c5e6f89 |
completed | March 7, 2026, 11:27 p.m. |
Created at: March 1, 2026, 7:45 p.m.