Triple
T6635499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man from the Diners' Club |
E150439
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
William Bloom
William Bloom is a film producer known for his work on the 1963 comedy movie "The Man from the Diners' Club."
|
E606435
|
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: William Bloom | Statement: [The Man from the Diners' Club, producer, William Bloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Bloom Context triple: [The Man from the Diners' Club, producer, William Bloom]
-
A.
Rudy Bloom
Rudy Bloom is the deceased infant son of Leopold and Molly Bloom in James Joyce’s novel "Ulysses," whose memory deeply affects his parents throughout the book.
-
B.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
C.
Jack Moran
Jack Moran is a fictional character appearing in the film "My Blue Heaven."
-
D.
Emmet Lavery
Emmet Lavery was an American playwright and screenwriter best known for his stage and film work in the mid-20th century, including adaptations of notable historical and legal figures.
-
E.
Aidan Murphy
Aidan Murphy is the Irish actor better known professionally as Aidan Gillen, recognized for roles in series like "The Wire" and "Game of Thrones."
- 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: William Bloom Triple: [The Man from the Diners' Club, producer, William Bloom]
Generated description
William Bloom is a film producer known for his work on the 1963 comedy movie "The Man from the Diners' Club."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Bloom Target entity description: William Bloom is a film producer known for his work on the 1963 comedy movie "The Man from the Diners' Club."
-
A.
Rudy Bloom
Rudy Bloom is the deceased infant son of Leopold and Molly Bloom in James Joyce’s novel "Ulysses," whose memory deeply affects his parents throughout the book.
-
B.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
C.
Jack Moran
Jack Moran is a fictional character appearing in the film "My Blue Heaven."
-
D.
Emmet Lavery
Emmet Lavery was an American playwright and screenwriter best known for his stage and film work in the mid-20th century, including adaptations of notable historical and legal figures.
-
E.
Aidan Murphy
Aidan Murphy is the Irish actor better known professionally as Aidan Gillen, recognized for roles in series like "The Wire" and "Game of Thrones."
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcd9a608190a949eb55766d5701 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4518f4881909c0a56df993d2af6 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e57e4b5481908db848f119f2079a |
completed | March 27, 2026, 8:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e616701081909428e20d2a6ede4b |
completed | March 27, 2026, 8:18 p.m. |
Created at: March 27, 2026, 1:59 p.m.