Triple
T20997737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleak Moments |
E517193
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Les Blair
Les Blair is a British film and television producer and director known for his work in socially realist drama.
|
E1462276
|
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: Les Blair | Statement: [Bleak Moments, producer, Les Blair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Blair Context triple: [Bleak Moments, producer, Les Blair]
-
A.
Seymour Parrish
Seymour Parrish is the lonely, obsessive photo technician portrayed by Robin Williams in the psychological thriller film "One Hour Photo."
-
B.
Carroll Rosenbloom
Carroll Rosenbloom was an American businessman and influential NFL team owner best known for owning the Baltimore Colts and later the Los Angeles Rams.
-
C.
Martin Lomasney
Martin Lomasney was a powerful early 20th-century Boston political boss and Democratic ward leader known for his influential role in the city’s machine politics.
-
D.
Tom Burman
Tom Burman is a college sports administrator best known as the longtime athletic director at the University of Wyoming.
-
E.
Van Sloan
Van Sloan is the surname of Edward Van Sloan, an American character actor best known for his roles in early Universal horror films such as "Dracula" and "Frankenstein."
- 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: Les Blair Triple: [Bleak Moments, producer, Les Blair]
Generated description
Les Blair is a British film and television producer and director known for his work in socially realist drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Blair Target entity description: Les Blair is a British film and television producer and director known for his work in socially realist drama.
-
A.
Seymour Parrish
Seymour Parrish is the lonely, obsessive photo technician portrayed by Robin Williams in the psychological thriller film "One Hour Photo."
-
B.
Carroll Rosenbloom
Carroll Rosenbloom was an American businessman and influential NFL team owner best known for owning the Baltimore Colts and later the Los Angeles Rams.
-
C.
Martin Lomasney
Martin Lomasney was a powerful early 20th-century Boston political boss and Democratic ward leader known for his influential role in the city’s machine politics.
-
D.
Tom Burman
Tom Burman is a college sports administrator best known as the longtime athletic director at the University of Wyoming.
-
E.
Van Sloan
Van Sloan is the surname of Edward Van Sloan, an American character actor best known for his roles in early Universal horror films such as "Dracula" and "Frankenstein."
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc22ca6081908bf054ddcfea9e19 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b51fe8881909b635016e214e070 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093ca200888190b5e618b7b4b6601d |
completed | May 17, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093d68c38c81909915e7060f847a08 |
completed | May 17, 2026, 4 a.m. |
Created at: April 16, 2026, 1:51 p.m.