Triple
T21958156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Separate We Come, Separate We Go |
E542246
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
James Kibbey
James Kibbey is a cinematographer known for his work on the short film "Separate We Come, Separate We Go."
|
E1562848
|
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: James Kibbey | Statement: [Separate We Come, Separate We Go, cinematographyBy, James Kibbey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Kibbey Context triple: [Separate We Come, Separate We Go, cinematographyBy, James Kibbey]
-
A.
William Drinkard
William Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers, which helped shape mid-20th-century American gospel music.
-
B.
John Gilleland
John Gilleland was a 19th-century American inventor best known for creating the experimental Civil War-era Double-Barreled Cannon in Athens, Georgia.
-
C.
John Pardue
John Pardue is a cinematographer known for his work on film and television projects, including the 2012 television film "The Girl."
-
D.
Joseph McCasland
Joseph McCasland is a film editor known for his work on the comedy movie "Drunk Parents."
-
E.
George Bagby
George Bagby was the crime and mystery fiction pseudonym of American author Aaron Marc Stein, under which he wrote a popular series of detective novels.
- 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: James Kibbey Triple: [Separate We Come, Separate We Go, cinematographyBy, James Kibbey]
Generated description
James Kibbey is a cinematographer known for his work on the short film "Separate We Come, Separate We Go."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Kibbey Target entity description: James Kibbey is a cinematographer known for his work on the short film "Separate We Come, Separate We Go."
-
A.
William Drinkard
William Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers, which helped shape mid-20th-century American gospel music.
-
B.
John Gilleland
John Gilleland was a 19th-century American inventor best known for creating the experimental Civil War-era Double-Barreled Cannon in Athens, Georgia.
-
C.
John Pardue
John Pardue is a cinematographer known for his work on film and television projects, including the 2012 television film "The Girl."
-
D.
Joseph McCasland
Joseph McCasland is a film editor known for his work on the comedy movie "Drunk Parents."
-
E.
George Bagby
George Bagby was the crime and mystery fiction pseudonym of American author Aaron Marc Stein, under which he wrote a popular series of detective novels.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244204f081909742d4fe138610d6 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc9fd93e881908c7998b5a8118fad |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcb094b60819090c7550dad826fac |
completed | May 19, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcb7ccc4881909fe70749449c0e6c |
completed | May 19, 2026, 2:31 a.m. |
Created at: April 16, 2026, 8 p.m.