Triple
T1801105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trouble in Store |
E39719
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Gordon Dines
Gordon Dines was a British cinematographer known for his work on mid-20th-century films, particularly comedies and dramas.
|
E272578
|
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: Gordon Dines | Statement: [Trouble in Store, cinematography, Gordon Dines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordon Dines Context triple: [Trouble in Store, cinematography, Gordon Dines]
-
A.
Gordon Davis
Gordon Davis is a pseudonym used by E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
B.
Gordon Bowker
Gordon Bowker is an American writer and entrepreneur best known as one of the co-founders of the global coffee company Starbucks.
-
C.
Denis Barnett
Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
-
D.
Gordon Mitchell
Gordon Mitchell is the son of renowned British aeronautical engineer R. J. Mitchell, designer of the Supermarine Spitfire.
-
E.
Gordon Coates
Gordon Coates was a New Zealand politician who served as Prime Minister in the 1920s and played a key role in shaping the country's policies within the British Empire and later the Commonwealth.
- 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: Gordon Dines Triple: [Trouble in Store, cinematography, Gordon Dines]
Generated description
Gordon Dines was a British cinematographer known for his work on mid-20th-century films, particularly comedies and dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gordon Dines Target entity description: Gordon Dines was a British cinematographer known for his work on mid-20th-century films, particularly comedies and dramas.
-
A.
Gordon Davis
Gordon Davis is a pseudonym used by E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
B.
Gordon Bowker
Gordon Bowker is an American writer and entrepreneur best known as one of the co-founders of the global coffee company Starbucks.
-
C.
Denis Barnett
Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
-
D.
Gordon Mitchell
Gordon Mitchell is the son of renowned British aeronautical engineer R. J. Mitchell, designer of the Supermarine Spitfire.
-
E.
Gordon Coates
Gordon Coates was a New Zealand politician who served as Prime Minister in the 1920s and played a key role in shaping the country's policies within the British Empire and later the Commonwealth.
- 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_69af1f6cb97c8190bf6e8dbdcae3aabd |
completed | March 9, 2026, 7:28 p.m. |
| NEDg | Description generation | batch_69af201e1a748190905bb221fc5dd01e |
completed | March 9, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af20ad25588190b8e26e82baba731d |
completed | March 9, 2026, 7:34 p.m. |
Created at: March 4, 2026, 7:32 p.m.