Triple
T1801125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trouble in Store |
E39719
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Derek Bond
Derek Bond was a British actor known for his work in mid-20th-century film, television, and theatre.
|
E205696
|
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: Derek Bond | Statement: [Trouble in Store, hasCastMember, Derek Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Bond Context triple: [Trouble in Store, hasCastMember, Derek Bond]
-
A.
Derek Bryceson
Derek Bryceson was a British-born Tanzanian politician and conservationist who served as director of Tanzania’s national parks and played a key role in supporting Jane Goodall’s chimpanzee research.
-
B.
Derek Charles
Derek Charles is the successful corporate executive whose life unravels when he becomes the target of a coworker’s dangerous obsession in the 2009 thriller film "Obsessed."
-
C.
Derek Ritchie
Derek Ritchie is a television producer known for his work on British drama and genre series.
-
D.
Derek
Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
E.
Derek Dowding
Derek Dowding was a Royal Air Force officer and the son of Air Chief Marshal Hugh Dowding, noted for his own distinguished service in military aviation.
- 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: Derek Bond Triple: [Trouble in Store, hasCastMember, Derek Bond]
Generated description
Derek Bond was a British actor known for his work in mid-20th-century film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Derek Bond Target entity description: Derek Bond was a British actor known for his work in mid-20th-century film, television, and theatre.
-
A.
Derek Bryceson
Derek Bryceson was a British-born Tanzanian politician and conservationist who served as director of Tanzania’s national parks and played a key role in supporting Jane Goodall’s chimpanzee research.
-
B.
Derek Charles
Derek Charles is the successful corporate executive whose life unravels when he becomes the target of a coworker’s dangerous obsession in the 2009 thriller film "Obsessed."
-
C.
Derek Ritchie
Derek Ritchie is a television producer known for his work on British drama and genre series.
-
D.
Derek
Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
E.
Derek Dowding
Derek Dowding was a Royal Air Force officer and the son of Air Chief Marshal Hugh Dowding, noted for his own distinguished service in military aviation.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa656ad5d4819090e677ad137b0cd1 |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9a799fc81909acb620f3e569265 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcb1466788190bdcb50107d838f83 |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbf5b0b881909d43c748034481f4 |
completed | March 8, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:32 p.m.