Triple
T11625395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Drinkwater |
E276252
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Pawns
"Pawns" is a dramatic work by English poet and playwright John Drinkwater, reflecting his early 20th-century literary style and themes.
|
E938319
|
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: Pawns | Statement: [John Drinkwater, notableWork, Pawns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pawns Context triple: [John Drinkwater, notableWork, Pawns]
-
A.
The Twin Pawns
"The Twin Pawns" is a 1920 silent drama film, based on Wilkie Collins' novel "The Woman in White," featuring an early screen appearance by Sterling Hayden.
-
B.
Chessmen
Chessmen are classic buttery shortbread cookies from Pepperidge Farm, known for their rich flavor and distinctive stamped designs.
-
C.
River Chess
River Chess is a chalk stream in southeast England that flows through Buckinghamshire and Hertfordshire before joining the River Colne.
-
D.
Knight’s Gambit
"Knight’s Gambit" is a collection of detective stories by William Faulkner featuring lawyer Gavin Stevens and set in the fictional Yoknapatawpha County.
-
E.
Rook
Rook is an open-source cloud-native storage orchestrator for Kubernetes that automates the deployment, management, and scaling of storage systems.
- 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: Pawns Triple: [John Drinkwater, notableWork, Pawns]
Generated description
"Pawns" is a dramatic work by English poet and playwright John Drinkwater, reflecting his early 20th-century literary style and themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pawns Target entity description: "Pawns" is a dramatic work by English poet and playwright John Drinkwater, reflecting his early 20th-century literary style and themes.
-
A.
The Twin Pawns
"The Twin Pawns" is a 1920 silent drama film, based on Wilkie Collins' novel "The Woman in White," featuring an early screen appearance by Sterling Hayden.
-
B.
Chessmen
Chessmen are classic buttery shortbread cookies from Pepperidge Farm, known for their rich flavor and distinctive stamped designs.
-
C.
River Chess
River Chess is a chalk stream in southeast England that flows through Buckinghamshire and Hertfordshire before joining the River Colne.
-
D.
Knight’s Gambit
"Knight’s Gambit" is a collection of detective stories by William Faulkner featuring lawyer Gavin Stevens and set in the fictional Yoknapatawpha County.
-
E.
Rook
Rook is an open-source cloud-native storage orchestrator for Kubernetes that automates the deployment, management, and scaling of storage systems.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87845d588190bfa4197e7ab600a7 |
completed | April 26, 2026, 9:45 p.m. |
| NEDg | Description generation | batch_69eeb3137f4c8190ba8ac48b2cb419b4 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9845bec81909f0f9b005f75249a |
completed | April 27, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.