Triple
T1108284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine Cleaning |
E25535
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
John Toon
John Toon is a cinematographer known for his work on the film "Sunshine Cleaning."
|
E138310
|
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: John Toon | Statement: [Sunshine Cleaning, cinematographyBy, John Toon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Toon Context triple: [Sunshine Cleaning, cinematographyBy, John Toon]
-
A.
Dave Tozer
Dave Tozer is a Grammy-winning American record producer, songwriter, and musician best known for his extensive work with John Legend and contributions to contemporary R&B and soul music.
-
B.
Toby Pohlen
Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
-
C.
Brian Jegan
Brian Jegan is an athlete best known for lighting the ceremonial torch at the 1998 Commonwealth Games.
-
D.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
E.
Lance Cumson
Lance Cumson is a central, often scheming heir in the 1980s American prime-time soap opera "Falcon Crest," known for his turbulent family and romantic entanglements.
- 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: John Toon Triple: [Sunshine Cleaning, cinematographyBy, John Toon]
Generated description
John Toon is a cinematographer known for his work on the film "Sunshine Cleaning."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Toon Target entity description: John Toon is a cinematographer known for his work on the film "Sunshine Cleaning."
-
A.
Dave Tozer
Dave Tozer is a Grammy-winning American record producer, songwriter, and musician best known for his extensive work with John Legend and contributions to contemporary R&B and soul music.
-
B.
Toby Pohlen
Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
-
C.
Brian Jegan
Brian Jegan is an athlete best known for lighting the ceremonial torch at the 1998 Commonwealth Games.
-
D.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
E.
Lance Cumson
Lance Cumson is a central, often scheming heir in the 1980s American prime-time soap opera "Falcon Crest," known for his turbulent family and romantic entanglements.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e6134481909f348986a25f65c6 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f2dc92481909ee6d9d6d4257f1b |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7f9a55dc819098204d53aac70ef3 |
completed | March 7, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac80c3c6b08190a99119f5661c0157 |
completed | March 7, 2026, 7:47 p.m. |
Created at: March 1, 2026, 7:43 p.m.