Triple
T13516661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Others |
E322777
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Alakina Mann
Alakina Mann is a British former child actress best known for her role in the supernatural horror film "The Others."
|
E1044838
|
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: Alakina Mann | Statement: [The Others, starring, Alakina Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alakina Mann Context triple: [The Others, starring, Alakina Mann]
-
A.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
-
B.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
C.
Amara Namani
Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
-
D.
Doro Merande
Doro Merande was an American character actress known for her distinctive comic and eccentric roles in mid-20th-century film, television, and theater.
-
E.
Mauren
Mauren is a municipality in the Principality of Liechtenstein, known for its residential character and location near the Swiss border.
- 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: Alakina Mann Triple: [The Others, starring, Alakina Mann]
Generated description
Alakina Mann is a British former child actress best known for her role in the supernatural horror film "The Others."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alakina Mann Target entity description: Alakina Mann is a British former child actress best known for her role in the supernatural horror film "The Others."
-
A.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
-
B.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
C.
Amara Namani
Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
-
D.
Doro Merande
Doro Merande was an American character actress known for her distinctive comic and eccentric roles in mid-20th-century film, television, and theater.
-
E.
Mauren
Mauren is a municipality in the Principality of Liechtenstein, known for its residential character and location near the Swiss border.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75496496c819093a9e763d293bcf7 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f75619ab7081909ca0c113d9ea349e |
completed | May 3, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7569429348190b6b1b901d5481921 |
completed | May 3, 2026, 2:07 p.m. |
Created at: April 9, 2026, 9:44 p.m.