Triple
T10304257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diggstown |
E241710
|
entity |
| Predicate | authorOfSourceWork |
P2353
|
FINISHED |
| Object |
Douglas K. Clark
Douglas K. Clark is the writer whose work served as the basis for the film "Diggstown."
|
E926832
|
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: Douglas K. Clark | Statement: [Diggstown, authorOfSourceWork, Douglas K. Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douglas K. Clark Context triple: [Diggstown, authorOfSourceWork, Douglas K. Clark]
-
A.
Richard A. Clark
Richard A. Clark is the son of famed American television personality and producer Dick Clark.
-
B.
Clifford G. Gaddy
Clifford G. Gaddy is an American economist and Russia expert known for his work on the Russian economy and coauthoring influential books on Vladimir Putin and Russian policy.
-
C.
Douglas S. Cramer
Douglas S. Cramer was an American television and film producer best known for his work on popular series such as "Dynasty," "The Love Boat," and "Wonder Woman."
-
D.
Douglas J. Foskett
Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
-
E.
Douglas L. Meyer
Douglas L. Meyer is a theatrical producer best known for his work on the hit 2001 Broadway musical "The Producers."
- 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: Douglas K. Clark Triple: [Diggstown, authorOfSourceWork, Douglas K. Clark]
Generated description
Douglas K. Clark is the writer whose work served as the basis for the film "Diggstown."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Douglas K. Clark Target entity description: Douglas K. Clark is the writer whose work served as the basis for the film "Diggstown."
-
A.
Richard A. Clark
Richard A. Clark is the son of famed American television personality and producer Dick Clark.
-
B.
Clifford G. Gaddy
Clifford G. Gaddy is an American economist and Russia expert known for his work on the Russian economy and coauthoring influential books on Vladimir Putin and Russian policy.
-
C.
Douglas S. Cramer
Douglas S. Cramer was an American television and film producer best known for his work on popular series such as "Dynasty," "The Love Boat," and "Wonder Woman."
-
D.
Douglas J. Foskett
Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
-
E.
Douglas L. Meyer
Douglas L. Meyer is a theatrical producer best known for his work on the hit 2001 Broadway musical "The Producers."
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d308f034819098da69b963eb8a02 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e877c6188190817fb30f2c9a07bf |
completed | April 20, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 6, 2026, 11:45 a.m.