Triple
T20878237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poppy Corby-Tuech |
E514076
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Corby-Tuech
Corby-Tuech is the hyphenated surname of British-French actress Poppy Corby-Tuech, known for her roles in film and television.
|
E1455032
|
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: Corby-Tuech | Statement: [Poppy Corby-Tuech, familyName, Corby-Tuech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corby-Tuech Context triple: [Poppy Corby-Tuech, familyName, Corby-Tuech]
-
A.
Maufe
Maufe is a surname most notably associated with Sir Edward Maufe, a 20th-century British architect known for designing Guildford Cathedral and several prominent war memorials.
-
B.
Royer
Royer was a costume designer known for his work on classic Hollywood films, including the 1939 drama "The Rains Came."
-
C.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
D.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
E.
Sesemann
Sesemann is the family surname of Klara Sesemann, a central character in Johanna Spyri’s classic children’s novel "Heidi."
- 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: Corby-Tuech Triple: [Poppy Corby-Tuech, familyName, Corby-Tuech]
Generated description
Corby-Tuech is the hyphenated surname of British-French actress Poppy Corby-Tuech, known for her roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corby-Tuech Target entity description: Corby-Tuech is the hyphenated surname of British-French actress Poppy Corby-Tuech, known for her roles in film and television.
-
A.
Maufe
Maufe is a surname most notably associated with Sir Edward Maufe, a 20th-century British architect known for designing Guildford Cathedral and several prominent war memorials.
-
B.
Royer
Royer was a costume designer known for his work on classic Hollywood films, including the 1939 drama "The Rains Came."
-
C.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
D.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
E.
Sesemann
Sesemann is the family surname of Klara Sesemann, a central character in Johanna Spyri’s classic children’s novel "Heidi."
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0913a242e08190be0a234ba5221a3a |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09146856cc819087dbfbe5f9b24bb1 |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0915506ff48190a97f89092dac2ca2 |
completed | May 17, 2026, 1:09 a.m. |
Created at: April 16, 2026, 12:45 p.m.