Triple
T10971544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Irons |
E259246
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sophie Pera
Sophie Pera is a fashion editor and stylist known for her work with major magazines and her marriage to actor Max Irons.
|
E897512
|
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: Sophie Pera | Statement: [Max Irons, spouse, Sophie Pera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Pera Context triple: [Max Irons, spouse, Sophie Pera]
-
A.
Sophie Menter
Sophie Menter was a renowned 19th-century German pianist and composer celebrated for her virtuosic performances and close artistic association with Franz Liszt.
-
B.
Sophie Roy
Sophie Roy is a minor character in the television series "Succession," known as one of Kendall Roy's children in the Roy family dynasty.
-
C.
Sophie Mau
Sophie Mau was the wife of pioneering German psychologist and physiologist Wilhelm Wundt, known primarily through her association with his life and work.
-
D.
Sophie Straw
Sophie Straw is the charismatic, working-class young woman who becomes a groundbreaking television comedy star in Nick Hornby’s novel "Funny Girl."
-
E.
Sophie Mol
Sophie Mol is a pivotal child character in Arundhati Roy’s novel "The God of Small Things," whose tragic fate profoundly shapes the story’s emotional and political landscape.
- 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: Sophie Pera Triple: [Max Irons, spouse, Sophie Pera]
Generated description
Sophie Pera is a fashion editor and stylist known for her work with major magazines and her marriage to actor Max Irons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophie Pera Target entity description: Sophie Pera is a fashion editor and stylist known for her work with major magazines and her marriage to actor Max Irons.
-
A.
Sophie Menter
Sophie Menter was a renowned 19th-century German pianist and composer celebrated for her virtuosic performances and close artistic association with Franz Liszt.
-
B.
Sophie Roy
Sophie Roy is a minor character in the television series "Succession," known as one of Kendall Roy's children in the Roy family dynasty.
-
C.
Sophie Mau
Sophie Mau was the wife of pioneering German psychologist and physiologist Wilhelm Wundt, known primarily through her association with his life and work.
-
D.
Sophie Straw
Sophie Straw is the charismatic, working-class young woman who becomes a groundbreaking television comedy star in Nick Hornby’s novel "Funny Girl."
-
E.
Sophie Mol
Sophie Mol is a pivotal child character in Arundhati Roy’s novel "The God of Small Things," whose tragic fate profoundly shapes the story’s emotional and political landscape.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719b5edc81908c1019f81e78bd2e |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d790df108190b4a3a6fece372778 |
completed | April 18, 2026, 1 a.m. |
| NEDg | Description generation | batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3261cc4f48190ba0e5645f37cd4b5 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.