Triple
T13779277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puss in Boots: The Last Wish |
E331091
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Perrito
Perrito is an optimistic, talkative therapy dog who becomes Puss in Boots’ loyal companion in the animated film "Puss in Boots: The Last Wish."
|
E1060786
|
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: Perrito | Statement: [Puss in Boots: The Last Wish, hasCharacter, Perrito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perrito Context triple: [Puss in Boots: The Last Wish, hasCharacter, Perrito]
-
A.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
B.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
C.
Lachi
Lachi is a town and administrative subdivision located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
-
D.
Guga
Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
-
E.
Norbit
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
- 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: Perrito Triple: [Puss in Boots: The Last Wish, hasCharacter, Perrito]
Generated description
Perrito is an optimistic, talkative therapy dog who becomes Puss in Boots’ loyal companion in the animated film "Puss in Boots: The Last Wish."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perrito Target entity description: Perrito is an optimistic, talkative therapy dog who becomes Puss in Boots’ loyal companion in the animated film "Puss in Boots: The Last Wish."
-
A.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
B.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
C.
Lachi
Lachi is a town and administrative subdivision located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
-
D.
Guga
Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
-
E.
Norbit
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
- 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_69f7b07670b08190a205d3c7ccb9dded |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b0f912f081908084042860c922cb |
completed | May 3, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b16a43188190968d5cdf32e447ec |
completed | May 3, 2026, 8:34 p.m. |
Created at: April 9, 2026, 10:11 p.m.