Triple
T2830439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio |
E62222
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Harry Hitner
Harry Hitner is a film editor known for his work on the movie "Rio."
|
E369438
|
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: Harry Hitner | Statement: [Rio, editor, Harry Hitner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Hitner Context triple: [Rio, editor, Harry Hitner]
-
A.
Ralph Berkowitz
Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
-
B.
Harry Kleiner
Harry Kleiner was an American screenwriter known for his work on notable films such as the crime thriller "Bullitt."
-
C.
Howard Bilerman
Howard Bilerman is a Canadian drummer, audio engineer, and record producer best known for his work with Arcade Fire and numerous influential indie rock recordings.
-
D.
Harry Prosch
Harry Prosch was an American philosopher best known for co-authoring "Meaning" with Michael Polanyi and for his work on the philosophy of religion and interpretation of Polanyi’s thought.
-
E.
Vern Schillinger
Vern Schillinger is a fictional white supremacist prison leader and one of the primary antagonists on the HBO series "Oz," portrayed by actor J.K. Simmons.
- 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: Harry Hitner Triple: [Rio, editor, Harry Hitner]
Generated description
Harry Hitner is a film editor known for his work on the movie "Rio."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Hitner Target entity description: Harry Hitner is a film editor known for his work on the movie "Rio."
-
A.
Ralph Berkowitz
Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
-
B.
Harry Kleiner
Harry Kleiner was an American screenwriter known for his work on notable films such as the crime thriller "Bullitt."
-
C.
Howard Bilerman
Howard Bilerman is a Canadian drummer, audio engineer, and record producer best known for his work with Arcade Fire and numerous influential indie rock recordings.
-
D.
Harry Prosch
Harry Prosch was an American philosopher best known for co-authoring "Meaning" with Michael Polanyi and for his work on the philosophy of religion and interpretation of Polanyi’s thought.
-
E.
Vern Schillinger
Vern Schillinger is a fictional white supremacist prison leader and one of the primary antagonists on the HBO series "Oz," portrayed by actor J.K. Simmons.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb6216ac8190950d789de6e36aa6 |
completed | March 13, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69b3bbdbda208190a358b85e704b9407 |
completed | March 13, 2026, 7:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5a60fa08190acbb7257b515369a |
completed | March 13, 2026, 11:31 a.m. |
Created at: March 6, 2026, 10:01 p.m.