Triple
T9735451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cove |
E236045
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Eric Abramson
Eric Abramson is a cinematographer best known for his work on the Academy Award–winning documentary film "The Cove."
|
E822022
|
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: Eric Abramson | Statement: [The Cove, cinematography, Eric Abramson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Abramson Context triple: [The Cove, cinematography, Eric Abramson]
-
A.
Bruce Abrahamson
Bruce Abrahamson is an architect and business leader best known for establishing the design firm HGA Architects and Engineers.
-
B.
Michael Applebaum
Michael Applebaum is a British actor and director best known under his professional name Michael Tree.
-
C.
Peter Abrams
Peter Abrams is a film producer best known for his work on popular Hollywood comedies and mainstream studio movies.
-
D.
Chris Applebaum
Chris Applebaum is an American music video director known for creating high-profile videos for major pop and rock artists.
-
E.
Morton Abramowitz
Morton Abramowitz is an American diplomat and foreign policy expert known for his leadership in international conflict prevention and humanitarian advocacy.
- 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: Eric Abramson Triple: [The Cove, cinematography, Eric Abramson]
Generated description
Eric Abramson is a cinematographer best known for his work on the Academy Award–winning documentary film "The Cove."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Abramson Target entity description: Eric Abramson is a cinematographer best known for his work on the Academy Award–winning documentary film "The Cove."
-
A.
Bruce Abrahamson
Bruce Abrahamson is an architect and business leader best known for establishing the design firm HGA Architects and Engineers.
-
B.
Michael Applebaum
Michael Applebaum is a British actor and director best known under his professional name Michael Tree.
-
C.
Peter Abrams
Peter Abrams is a film producer best known for his work on popular Hollywood comedies and mainstream studio movies.
-
D.
Chris Applebaum
Chris Applebaum is an American music video director known for creating high-profile videos for major pop and rock artists.
-
E.
Morton Abramowitz
Morton Abramowitz is an American diplomat and foreign policy expert known for his leadership in international conflict prevention and humanitarian advocacy.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4083b208190b0e23c4dcbea0532 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c4fc4cc88190b020f672b9f9ba27 |
completed | April 5, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5a1cfb08190b6c16e5309dbf2b8 |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 8:22 p.m.