Triple
T10539570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Rhys Meyers |
E248659
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mara Lane
Mara Lane is an American actress and producer best known for her work in independent films and her marriage to Irish actor Jonathan Rhys Meyers.
|
E869944
|
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: Mara Lane | Statement: [Jonathan Rhys Meyers, spouse, Mara Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mara Lane Context triple: [Jonathan Rhys Meyers, spouse, Mara Lane]
-
A.
Jane Lane
Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
-
B.
Melissa Lane
Melissa Lane is a political philosopher and scholar best known for her work on ancient Greek political thought and its relevance to contemporary political theory.
-
C.
Caroline Ridge
Caroline Ridge is a notable ridge formation located within the Caroline Plate tectonic region.
-
D.
Lola Lane
Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
-
E.
Carrie Lane
Carrie Lane was the birth name of Carrie Chapman Catt, a prominent American suffragist and peace activist who led the campaign for women's right to vote in the United States.
- 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: Mara Lane Triple: [Jonathan Rhys Meyers, spouse, Mara Lane]
Generated description
Mara Lane is an American actress and producer best known for her work in independent films and her marriage to Irish actor Jonathan Rhys Meyers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mara Lane Target entity description: Mara Lane is an American actress and producer best known for her work in independent films and her marriage to Irish actor Jonathan Rhys Meyers.
-
A.
Jane Lane
Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
-
B.
Melissa Lane
Melissa Lane is a political philosopher and scholar best known for her work on ancient Greek political thought and its relevance to contemporary political theory.
-
C.
Caroline Ridge
Caroline Ridge is a notable ridge formation located within the Caroline Plate tectonic region.
-
D.
Lola Lane
Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
-
E.
Carrie Lane
Carrie Lane was the birth name of Carrie Chapman Catt, a prominent American suffragist and peace activist who led the campaign for women's right to vote in the United States.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5730d88190b266a940faf53f65 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e5f0a1c81908b29ff31b785788f |
completed | April 10, 2026, 2:51 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:32 p.m.