Triple
T2982218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Inconvenient Truth |
E80537
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Dan Swietlik
Dan Swietlik is a film editor best known for his work on the Academy Award–winning climate change documentary "An Inconvenient Truth."
|
E324359
|
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: Dan Swietlik | Statement: [An Inconvenient Truth, editedBy, Dan Swietlik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Swietlik Context triple: [An Inconvenient Truth, editedBy, Dan Swietlik]
-
A.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
B.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
C.
Andrew Bryniarski
Andrew Bryniarski is an American actor and former bodybuilder best known for playing imposing, physically intimidating characters in films such as The Texas Chainsaw Massacre (2003) and its prequel.
-
D.
Dan Koretzky
Dan Koretzky is an American music industry figure best known as the co-founder and driving force behind the influential independent record label Drag City.
-
E.
John Wolyniec
John Wolyniec is a former American professional soccer forward best known for his time with the New York/New Jersey MetroStars and New York Red Bulls in Major League Soccer.
- 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: Dan Swietlik Triple: [An Inconvenient Truth, editedBy, Dan Swietlik]
Generated description
Dan Swietlik is a film editor best known for his work on the Academy Award–winning climate change documentary "An Inconvenient Truth."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Swietlik Target entity description: Dan Swietlik is a film editor best known for his work on the Academy Award–winning climate change documentary "An Inconvenient Truth."
-
A.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
B.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
C.
Andrew Bryniarski
Andrew Bryniarski is an American actor and former bodybuilder best known for playing imposing, physically intimidating characters in films such as The Texas Chainsaw Massacre (2003) and its prequel.
-
D.
Dan Koretzky
Dan Koretzky is an American music industry figure best known as the co-founder and driving force behind the influential independent record label Drag City.
-
E.
John Wolyniec
John Wolyniec is a former American professional soccer forward best known for his time with the New York/New Jersey MetroStars and New York Red Bulls in Major League Soccer.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99a1ed44819085ae6d39943db1d9 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8629c7c8190b597255ab8f391af |
completed | March 11, 2026, 11:18 p.m. |
| NEDg | Description generation | batch_69b1f8e5cdd08190840321d7ad1fe1e2 |
completed | March 11, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f968f17c81908b1e96f482546b80 |
completed | March 11, 2026, 11:23 p.m. |
Created at: March 8, 2026, 2:58 p.m.