Triple
T10917757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I, Daniel Blake |
E257867
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Dave Johns
Dave Johns is a British stand-up comedian and actor best known for his acclaimed lead role in Ken Loach’s social-realist film "I, Daniel Blake."
|
E894448
|
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: Dave Johns | Statement: [I, Daniel Blake, stars, Dave Johns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Johns Context triple: [I, Daniel Blake, stars, Dave Johns]
-
A.
Dave Guy
Dave Guy is an American trumpet player best known for his work with the hip-hop band The Roots and as a prominent session and touring musician.
-
B.
Mike Joyce
Mike Joyce is an English drummer best known for his work with the influential alternative rock band The Smiths in the 1980s.
-
C.
Jeff Timmons
Jeff Timmons is an American singer and founding member of the pop and R&B boy band 98 Degrees.
-
D.
Ken Scott
Ken Scott is a renowned British record producer and audio engineer best known for his work with artists such as David Bowie, The Beatles, and Elton John.
-
E.
Ken Scott
Ken Scott is a Canadian screenwriter and director known for films such as "Starbuck," "Delivery Man," and "The Grand Seduction."
- 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: Dave Johns Triple: [I, Daniel Blake, stars, Dave Johns]
Generated description
Dave Johns is a British stand-up comedian and actor best known for his acclaimed lead role in Ken Loach’s social-realist film "I, Daniel Blake."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Johns Target entity description: Dave Johns is a British stand-up comedian and actor best known for his acclaimed lead role in Ken Loach’s social-realist film "I, Daniel Blake."
-
A.
Dave Guy
Dave Guy is an American trumpet player best known for his work with the hip-hop band The Roots and as a prominent session and touring musician.
-
B.
Mike Joyce
Mike Joyce is an English drummer best known for his work with the influential alternative rock band The Smiths in the 1980s.
-
C.
Jeff Timmons
Jeff Timmons is an American singer and founding member of the pop and R&B boy band 98 Degrees.
-
D.
Ken Scott
Ken Scott is a renowned British record producer and audio engineer best known for his work with artists such as David Bowie, The Beatles, and Elton John.
-
E.
Ken Scott
Ken Scott is a Canadian screenwriter and director known for films such as "Starbuck," "Delivery Man," and "The Grand Seduction."
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707ebdcc8190b42cafe21c667c82 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2170bb97c81908e8d209ddb630601 |
completed | April 17, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69e21d8952c881908a952de83754e049 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e2247fbd348190bb0d221923dac892 |
completed | April 17, 2026, 12:16 p.m. |
Created at: April 8, 2026, 9:22 p.m.