Triple
T12531162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffragette |
E299565
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Natalie Press
Natalie Press is a British actress known for her roles in independent films and period dramas, including the historical drama "Suffragette."
|
E988401
|
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: Natalie Press | Statement: [Suffragette, stars, Natalie Press]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalie Press Context triple: [Suffragette, stars, Natalie Press]
-
A.
Lissa Evans
Lissa Evans is a British author and former television director and producer, known for her witty, character-driven novels for both adults and children.
-
B.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
C.
Cathryn Bradshaw
Cathryn Bradshaw is a British actress known for her work in film, television, and theatre, including roles in productions such as the 2006 drama "Venus."
-
D.
Maria Cole
Maria Cole was an American jazz singer and television personality best known as the wife of legendary musician Nat King Cole and the mother of singer Natalie Cole.
-
E.
Pamela Addison
Pamela Addison is known as the wife of John Addison.
- 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: Natalie Press Triple: [Suffragette, stars, Natalie Press]
Generated description
Natalie Press is a British actress known for her roles in independent films and period dramas, including the historical drama "Suffragette."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natalie Press Target entity description: Natalie Press is a British actress known for her roles in independent films and period dramas, including the historical drama "Suffragette."
-
A.
Lissa Evans
Lissa Evans is a British author and former television director and producer, known for her witty, character-driven novels for both adults and children.
-
B.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
C.
Cathryn Bradshaw
Cathryn Bradshaw is a British actress known for her work in film, television, and theatre, including roles in productions such as the 2006 drama "Venus."
-
D.
Maria Cole
Maria Cole was an American jazz singer and television personality best known as the wife of legendary musician Nat King Cole and the mother of singer Natalie Cole.
-
E.
Pamela Addison
Pamela Addison is known as the wife of John Addison.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc8866c81908821525b595715e2 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64da25bf88190889273bf41e2f154 |
completed | May 2, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65213ed84819086fda178aaf9e774 |
completed | May 2, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:57 p.m.