Triple
T6401277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preston Foster |
E144067
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Waterfront
"Waterfront" is a 1939 American crime drama film starring Preston Foster, set against a gritty dockside backdrop of labor strife and personal conflict.
|
E589999
|
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: Waterfront | Statement: [Preston Foster, notableWork, Waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterfront Context triple: [Preston Foster, notableWork, Waterfront]
-
A.
Waterfront
The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
-
B.
Fairwater
Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
-
C.
Ferryside
Ferryside is a small coastal village in Carmarthenshire, Wales, situated on the estuary of the River Towy and known for its scenic views and maritime heritage.
-
D.
Seaside
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
-
E.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
- 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: Waterfront Triple: [Preston Foster, notableWork, Waterfront]
Generated description
"Waterfront" is a 1939 American crime drama film starring Preston Foster, set against a gritty dockside backdrop of labor strife and personal conflict.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waterfront Target entity description: "Waterfront" is a 1939 American crime drama film starring Preston Foster, set against a gritty dockside backdrop of labor strife and personal conflict.
-
A.
Waterfront
The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
-
B.
Fairwater
Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
-
C.
Ferryside
Ferryside is a small coastal village in Carmarthenshire, Wales, situated on the estuary of the River Towy and known for its scenic views and maritime heritage.
-
D.
Seaside
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
-
E.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0689ae99881909ba427769fd317ae |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638a37f8c8190a052eeb202b35df3 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c639eabaf88190bf81112cde6e8e99 |
completed | March 27, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a8738ac8190af0bface4b18eea6 |
completed | March 27, 2026, 8:06 a.m. |
Created at: March 22, 2026, 4:35 p.m.