Triple
T2864878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abel Korzeniowski |
E63414
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
W.E.
W.E. is a 2011 romantic drama film directed by Madonna that intertwines the story of Wallis Simpson and King Edward VIII with a modern-day narrative.
|
E305179
|
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: W.E. | Statement: [Abel Korzeniowski, notableWork, W.E.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W.E. Context triple: [Abel Korzeniowski, notableWork, W.E.]
-
A.
Wes
Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
-
B.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
-
C.
Wem
Wem is a small market town and civil parish in the county of Shropshire, England.
-
D.
WE
WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
-
E.
Wil
Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
- 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: W.E. Triple: [Abel Korzeniowski, notableWork, W.E.]
Generated description
W.E. is a 2011 romantic drama film directed by Madonna that intertwines the story of Wallis Simpson and King Edward VIII with a modern-day narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: W.E. Target entity description: W.E. is a 2011 romantic drama film directed by Madonna that intertwines the story of Wallis Simpson and King Edward VIII with a modern-day narrative.
-
A.
Wes
Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
-
B.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
-
C.
Wem
Wem is a small market town and civil parish in the county of Shropshire, England.
-
D.
WE
WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
-
E.
Wil
Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb9e64c819087b1a47caeb174d5 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01da458ec8190ae07237d7e23b302 |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b01e45f6e481908665e0961c3a3778 |
completed | March 10, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0224832108190be252c0245d588d2 |
completed | March 10, 2026, 1:53 p.m. |
Created at: March 6, 2026, 10:02 p.m.