Triple
T10323082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Believer |
E242688
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Eric Bassett
Eric Bassett is a film producer known for his work on the drama film "The Believer."
|
E857054
|
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 Bassett | Statement: [The Believer, producer, Eric Bassett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Bassett Context triple: [The Believer, producer, Eric Bassett]
-
A.
Edward Bass
Edward Bass is an American businessman and philanthropist best known for financing large-scale environmental and scientific projects, including the Biosphere 2 research facility.
-
B.
George Bassman
George Bassman was an American composer and arranger known for his work on film scores and popular music in Hollywood’s Golden Age.
-
C.
Eric Bates
Eric Bates is the young, wealthy boy in the 1982 comedy film "The Toy" who whimsically "purchases" a man as his personal companion, driving much of the movie’s plot and humor.
-
D.
Ted Bessell
Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
-
E.
Ben Bass
Ben Bass is a resourceful and determined surgeon who becomes stranded in the wilderness after a plane crash in the romantic survival drama "The Mountain Between Us."
- 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 Bassett Triple: [The Believer, producer, Eric Bassett]
Generated description
Eric Bassett is a film producer known for his work on the drama film "The Believer."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Bassett Target entity description: Eric Bassett is a film producer known for his work on the drama film "The Believer."
-
A.
Edward Bass
Edward Bass is an American businessman and philanthropist best known for financing large-scale environmental and scientific projects, including the Biosphere 2 research facility.
-
B.
George Bassman
George Bassman was an American composer and arranger known for his work on film scores and popular music in Hollywood’s Golden Age.
-
C.
Eric Bates
Eric Bates is the young, wealthy boy in the 1982 comedy film "The Toy" who whimsically "purchases" a man as his personal companion, driving much of the movie’s plot and humor.
-
D.
Ted Bessell
Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
-
E.
Ben Bass
Ben Bass is a resourceful and determined surgeon who becomes stranded in the wilderness after a plane crash in the romantic survival drama "The Mountain Between Us."
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cdb6cc8190b37ca4494287128b |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7503f3df88190bc5acb5e5295f787 |
completed | April 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69d7516a4d088190b3e3b86956b6b821 |
completed | April 9, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d75200eecc819094e261c9fa7c75f5 |
completed | April 9, 2026, 7:15 a.m. |
Created at: April 6, 2026, 11:50 a.m.