Triple
T15297139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan (2013 film) |
E365688
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Rene Richter
Rene Richter is a cinematographer best known for his work on the 2013 animated film "Tarzan."
|
E1148123
|
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: Rene Richter | Statement: [Tarzan (2013 film), cinematographyBy, Rene Richter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rene Richter Context triple: [Tarzan (2013 film), cinematographyBy, Rene Richter]
-
A.
Julius Blank
Julius Blank was an engineer and entrepreneur best known as one of the “Traitorous Eight” who left Shockley Semiconductor to co-found Fairchild Semiconductor, helping launch Silicon Valley’s semiconductor industry.
-
B.
William Richert
William Richert is an American filmmaker, screenwriter, and actor best known for directing the political satire thriller "Winter Kills."
-
C.
Bertram Bloch
Bertram Bloch was a writer whose work served as the source material for the film "Dark Victory."
-
D.
Josef Jennewein
Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
-
E.
Helmut Dantine
Helmut Dantine was an Austrian-born American actor best known for his roles as suave or menacing European characters in classic Hollywood films of the 1940s, including "Casablanca."
- 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: Rene Richter Triple: [Tarzan (2013 film), cinematographyBy, Rene Richter]
Generated description
Rene Richter is a cinematographer best known for his work on the 2013 animated film "Tarzan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rene Richter Target entity description: Rene Richter is a cinematographer best known for his work on the 2013 animated film "Tarzan."
-
A.
Julius Blank
Julius Blank was an engineer and entrepreneur best known as one of the “Traitorous Eight” who left Shockley Semiconductor to co-found Fairchild Semiconductor, helping launch Silicon Valley’s semiconductor industry.
-
B.
William Richert
William Richert is an American filmmaker, screenwriter, and actor best known for directing the political satire thriller "Winter Kills."
-
C.
Bertram Bloch
Bertram Bloch was a writer whose work served as the source material for the film "Dark Victory."
-
D.
Josef Jennewein
Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
-
E.
Helmut Dantine
Helmut Dantine was an Austrian-born American actor best known for his roles as suave or menacing European characters in classic Hollywood films of the 1940s, including "Casablanca."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef82f6d08190b809260dda247dfe |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef08efec88190a66159ba39409ec9 |
completed | May 9, 2026, 8:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1715c3081909bddb24688c810a7 |
completed | May 9, 2026, 8:33 a.m. |
Created at: April 10, 2026, 3:15 a.m.