Triple
T995553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. E. Hulme |
E21486
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Above the Dock
"Above the Dock" is a brief imagist poem by T. E. Hulme that vividly captures a nighttime urban scene through precise, economical imagery.
|
E117436
|
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: Above the Dock | Statement: [T. E. Hulme, notableWork, Above the Dock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Above the Dock Context triple: [T. E. Hulme, notableWork, Above the Dock]
-
A.
Bluewater
Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
-
B.
Harborland
Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
-
C.
The Bay
The Bay is a major Canadian department store chain offering a wide range of fashion, home goods, and accessories.
-
D.
Like the Sea
"Like the Sea" is a soulful R&B ballad by Alicia Keys from her album "The Element of Freedom," noted for its serene, metaphor-rich lyrics and gentle, flowing melody.
-
E.
Into the Blue
Into the Blue is a 2005 action-thriller film about a group of divers who discover a sunken plane full of drugs, starring Paul Walker and Jessica Alba.
- 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: Above the Dock Triple: [T. E. Hulme, notableWork, Above the Dock]
Generated description
"Above the Dock" is a brief imagist poem by T. E. Hulme that vividly captures a nighttime urban scene through precise, economical imagery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Above the Dock Target entity description: "Above the Dock" is a brief imagist poem by T. E. Hulme that vividly captures a nighttime urban scene through precise, economical imagery.
-
A.
Bluewater
Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
-
B.
Harborland
Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
-
C.
The Bay
The Bay is a major Canadian department store chain offering a wide range of fashion, home goods, and accessories.
-
D.
Like the Sea
"Like the Sea" is a soulful R&B ballad by Alicia Keys from her album "The Element of Freedom," noted for its serene, metaphor-rich lyrics and gentle, flowing melody.
-
E.
Into the Blue
Into the Blue is a 2005 action-thriller film about a group of divers who discover a sunken plane full of drugs, starring Paul Walker and Jessica Alba.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c75de88190bf7fec7a053f7a90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2593a6588190b52989e9670d84e3 |
completed | March 7, 2026, 1:18 p.m. |
| NEDg | Description generation | batch_69ac268798cc81908254b8733437c55e |
completed | March 7, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac26ee09f0819098a7b1adcbb79053 |
completed | March 7, 2026, 1:23 p.m. |
Created at: March 1, 2026, 7:41 p.m.