Triple
T12400623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Clarke |
E296242
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Nice Work
Nice Work is a British television drama adaptation of David Lodge's campus novel, featuring Warren Clarke in a leading role.
|
E981774
|
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: Nice Work | Statement: [Warren Clarke, notableWork, Nice Work]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nice Work Context triple: [Warren Clarke, notableWork, Nice Work]
-
A.
Nice Work If You Can Get It
"Nice Work If You Can Get It" is a popular 1937 jazz standard by George and Ira Gershwin that has become a widely recorded and performed piece in the Great American Songbook.
-
B.
A Little Work
"A Little Work" is a pop song by Fergie from her album "Double Dutchess," noted for its autobiographical lyrics and cinematic music video depicting her struggles and recovery.
-
C.
Let’s Work
"Let’s Work" is a song by the Rolling Stones, known as a track from their 1989 album "Steel Wheels."
-
D.
Do It Well
"Do It Well" is a 2007 dance-pop and R&B single by Jennifer Lopez, known for its upbeat production and confident, empowering lyrics.
-
E.
Work on It
"Work on It" is a musical track, likely a song title, referenced as part of a larger recording or album.
- 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: Nice Work Triple: [Warren Clarke, notableWork, Nice Work]
Generated description
Nice Work is a British television drama adaptation of David Lodge's campus novel, featuring Warren Clarke in a leading role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nice Work Target entity description: Nice Work is a British television drama adaptation of David Lodge's campus novel, featuring Warren Clarke in a leading role.
-
A.
Nice Work If You Can Get It
"Nice Work If You Can Get It" is a popular 1937 jazz standard by George and Ira Gershwin that has become a widely recorded and performed piece in the Great American Songbook.
-
B.
A Little Work
"A Little Work" is a pop song by Fergie from her album "Double Dutchess," noted for its autobiographical lyrics and cinematic music video depicting her struggles and recovery.
-
C.
Let’s Work
"Let’s Work" is a song by the Rolling Stones, known as a track from their 1989 album "Steel Wheels."
-
D.
Do It Well
"Do It Well" is a 2007 dance-pop and R&B single by Jennifer Lopez, known for its upbeat production and confident, empowering lyrics.
-
E.
Work on It
"Work on It" is a musical track, likely a song title, referenced as part of a larger recording or album.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63482af8c8190b277b36371979f5e |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f636cf7d808190bf3c1c84bdaf414e |
completed | May 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6380223d08190959e524ad146d0e0 |
completed | May 2, 2026, 5:44 p.m. |
Created at: April 8, 2026, 9:55 p.m.