Triple
T13779264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puss in Boots: The Last Wish |
E331091
|
entity |
| Predicate | voiceCast |
P18510
|
FINISHED |
| Object |
Kevin McCann
Kevin McCann is a voice actor who contributed to the animated film "Puss in Boots: The Last Wish."
|
E1138367
|
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: Kevin McCann | Statement: [Puss in Boots: The Last Wish, voiceCast, Kevin McCann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin McCann Context triple: [Puss in Boots: The Last Wish, voiceCast, Kevin McCann]
-
A.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
B.
Kevin Duggan
Kevin Duggan is a relatively obscure individual whose name is shared with multiple people across different professions, such as sports and public service.
-
C.
Christian McLaughlin
Christian McLaughlin is a television producer and writer known for his work on various comedy and genre projects, including the film "The Invisible Woman."
-
D.
Kevin McLaughlin
Kevin McLaughlin is a literary scholar and translator known for his English translation of Walter Benjamin’s "The Arcades Project."
-
E.
Matt O’Dowd
Matt O’Dowd is an astrophysicist and science communicator known for explaining complex cosmology and physics concepts to the public, particularly through online video series.
- 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: Kevin McCann Triple: [Puss in Boots: The Last Wish, voiceCast, Kevin McCann]
Generated description
Kevin McCann is a voice actor who contributed to the animated film "Puss in Boots: The Last Wish."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin McCann Target entity description: Kevin McCann is a voice actor who contributed to the animated film "Puss in Boots: The Last Wish."
-
A.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
B.
Kevin Duggan
Kevin Duggan is a relatively obscure individual whose name is shared with multiple people across different professions, such as sports and public service.
-
C.
Christian McLaughlin
Christian McLaughlin is a television producer and writer known for his work on various comedy and genre projects, including the film "The Invisible Woman."
-
D.
Kevin McLaughlin
Kevin McLaughlin is a literary scholar and translator known for his English translation of Walter Benjamin’s "The Arcades Project."
-
E.
Matt O’Dowd
Matt O’Dowd is an astrophysicist and science communicator known for explaining complex cosmology and physics concepts to the public, particularly through online video series.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7cccd548190b9ec93f9d9d2f2af |
completed | May 9, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69feb971df248190bccc187517557373 |
completed | May 9, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9faeb2c819098e8dd4e0cf223bc |
completed | May 9, 2026, 4:37 a.m. |
Created at: April 9, 2026, 10:11 p.m.