Triple
T14558831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wedding Planner |
E341615
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Michael Ellis
Michael Ellis is a screenwriter best known for co-writing the romantic comedy film "The Wedding Planner."
|
E1107420
|
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: Michael Ellis | Statement: [The Wedding Planner, screenwriter, Michael Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Ellis Context triple: [The Wedding Planner, screenwriter, Michael Ellis]
-
A.
Michael Ellis
Michael Ellis is a film editor best known for his work on the British comedy-drama film "Brassed Off."
-
B.
Aaron Jeffery
Aaron Jeffery is a New Zealand-born Australian actor best known for his roles in television dramas such as "McLeod's Daughters" and "Wentworth."
-
C.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
D.
Charles Snodgrass
Charles Snodgrass is a person notable enough to be recognized as a primary bearer of the surname Snodgrass.
-
E.
D. J. Opperman
D. J. Opperman was a prominent 20th-century Afrikaans poet and academic, widely regarded as one of the most influential figures in modern Afrikaans literature.
- 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: Michael Ellis Triple: [The Wedding Planner, screenwriter, Michael Ellis]
Generated description
Michael Ellis is a screenwriter best known for co-writing the romantic comedy film "The Wedding Planner."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Ellis Target entity description: Michael Ellis is a screenwriter best known for co-writing the romantic comedy film "The Wedding Planner."
-
A.
Michael Ellis
Michael Ellis is a film editor best known for his work on the British comedy-drama film "Brassed Off."
-
B.
Aaron Jeffery
Aaron Jeffery is a New Zealand-born Australian actor best known for his roles in television dramas such as "McLeod's Daughters" and "Wentworth."
-
C.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
D.
Charles Snodgrass
Charles Snodgrass is a person notable enough to be recognized as a primary bearer of the surname Snodgrass.
-
E.
D. J. Opperman
D. J. Opperman was a prominent 20th-century Afrikaans poet and academic, widely regarded as one of the most influential figures in modern Afrikaans literature.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac003b08190923d469b3422cdab |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b2989288190812565b3b59ad1fc |
completed | May 8, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8db224948190ac797626aa0c38ec |
completed | May 8, 2026, 7:16 a.m. |
Created at: April 10, 2026, 1:23 a.m.