Triple
T856058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Pictures |
E18494
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Joe Brandt
Joe Brandt was an American film industry executive and producer best known as one of the co-founders of Columbia Pictures.
|
E153720
|
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: Joe Brandt | Statement: [Columbia Pictures, foundedBy, Joe Brandt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Brandt Context triple: [Columbia Pictures, foundedBy, Joe Brandt]
-
A.
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.
-
B.
Ben Bray
Ben Bray is a film producer known for his work on action-packed crime movies such as "Smokin' Aces."
-
C.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
D.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
E.
Lee Garmes
Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
- 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: Joe Brandt Triple: [Columbia Pictures, foundedBy, Joe Brandt]
Generated description
Joe Brandt was an American film industry executive and producer best known as one of the co-founders of Columbia Pictures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Brandt Target entity description: Joe Brandt was an American film industry executive and producer best known as one of the co-founders of Columbia Pictures.
-
A.
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.
-
B.
Ben Bray
Ben Bray is a film producer known for his work on action-packed crime movies such as "Smokin' Aces."
-
C.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
D.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
E.
Lee Garmes
Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac3c172481908ed164ee1579ec28 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc5ff51c48190ab9b096d9d885d8f |
completed | March 8, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69acc6ae66408190bf48fe3150a08116 |
completed | March 8, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc73b92248190b723cb64046799e3 |
completed | March 8, 2026, 12:47 a.m. |
Created at: March 1, 2026, 7:39 p.m.