Triple
T20350670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Blue |
E495996
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Peter Scoones
Peter Scoones was a renowned British underwater cinematographer celebrated for his pioneering and visually stunning marine wildlife films.
|
E1425771
|
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: Peter Scoones | Statement: [Deep Blue, cinematography, Peter Scoones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Scoones Context triple: [Deep Blue, cinematography, Peter Scoones]
-
A.
Peter Sissons
Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
-
B.
Peter Connolly
Peter Connolly is a relatively obscure individual whose name is shared with several people across fields such as history, illustration, and public service, making precise identification context-dependent.
-
C.
Jack O'Shea
Jack O'Shea is an actor known for his role in the film "Hellgate."
-
D.
Peter Sweeney
Peter Sweeney is a personal name shared by multiple individuals, including various professionals and public figures.
-
E.
Paul Scoon
Paul Scoon was a Grenadian statesman who served as the country’s long-serving Governor-General, playing a key role during the political turmoil and U.S.-led intervention of the early 1980s.
- 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: Peter Scoones Triple: [Deep Blue, cinematography, Peter Scoones]
Generated description
Peter Scoones was a renowned British underwater cinematographer celebrated for his pioneering and visually stunning marine wildlife films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Scoones Target entity description: Peter Scoones was a renowned British underwater cinematographer celebrated for his pioneering and visually stunning marine wildlife films.
-
A.
Peter Sissons
Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
-
B.
Peter Connolly
Peter Connolly is a relatively obscure individual whose name is shared with several people across fields such as history, illustration, and public service, making precise identification context-dependent.
-
C.
Jack O'Shea
Jack O'Shea is an actor known for his role in the film "Hellgate."
-
D.
Peter Sweeney
Peter Sweeney is a personal name shared by multiple individuals, including various professionals and public figures.
-
E.
Paul Scoon
Paul Scoon was a Grenadian statesman who served as the country’s long-serving Governor-General, playing a key role during the political turmoil and U.S.-led intervention of the early 1980s.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784f8ff48190a070888786f6a989 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0869656ae4819084679d901249c2f7 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869cc7308819087028f44af0386c2 |
completed | May 16, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086ab4c0a08190a1cd3ca5ea07512f |
completed | May 16, 2026, 1:01 p.m. |
Created at: April 16, 2026, 11:24 a.m.