Triple
T18986555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Parallax View |
E464571
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Lee Carter
Lee Carter is a fictional character from the 1974 political thriller film "The Parallax View."
|
E1352463
|
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: Lee Carter | Statement: [The Parallax View, character, Lee Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Carter Context triple: [The Parallax View, character, Lee Carter]
-
A.
Cy Carter
Cy Carter is a screenwriter best known for his work on the independent drama film "A Quiet Little Marriage."
-
B.
Bo Carter
Bo Carter was an influential early 20th-century American blues guitarist, singer, and songwriter known for his intricate fingerpicking style and often risqué lyrics.
-
C.
Emily Charlton
Emily Charlton is the ambitious, fashion-obsessed first assistant to Miranda Priestly in "The Devil Wears Prada," known for her sharp wit and cutting remarks.
-
D.
Jocelyn Carter
Jocelyn Carter is a principled and determined NYPD detective from the television series "Person of Interest," known for her moral integrity and pursuit of justice.
-
E.
Natalie Carter
Natalie Carter is a French screenwriter known for adapting literary works for film, including the 2012 adaptation of François Mauriac’s novel "Thérèse Desqueyroux."
- 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: Lee Carter Triple: [The Parallax View, character, Lee Carter]
Generated description
Lee Carter is a fictional character from the 1974 political thriller film "The Parallax View."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Carter Target entity description: Lee Carter is a fictional character from the 1974 political thriller film "The Parallax View."
-
A.
Cy Carter
Cy Carter is a screenwriter best known for his work on the independent drama film "A Quiet Little Marriage."
-
B.
Bo Carter
Bo Carter was an influential early 20th-century American blues guitarist, singer, and songwriter known for his intricate fingerpicking style and often risqué lyrics.
-
C.
Emily Charlton
Emily Charlton is the ambitious, fashion-obsessed first assistant to Miranda Priestly in "The Devil Wears Prada," known for her sharp wit and cutting remarks.
-
D.
Jocelyn Carter
Jocelyn Carter is a principled and determined NYPD detective from the television series "Person of Interest," known for her moral integrity and pursuit of justice.
-
E.
Natalie Carter
Natalie Carter is a French screenwriter known for adapting literary works for film, including the 2012 adaptation of François Mauriac’s novel "Thérèse Desqueyroux."
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d660835c8190bedd78590b3e0a7e |
completed | April 20, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05ad4717f48190a950ac569b8bcf12 |
completed | May 14, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a05aedf05c4819096ac6a61ada4b310 |
completed | May 14, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05afe523208190a97142cd8e3b887b |
completed | May 14, 2026, 11:20 a.m. |
Created at: April 10, 2026, 12:01 p.m.