Triple
T18826404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Night in the Show |
E460398
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Mr. Pest
Mr. Pest is the bumbling, troublemaking character portrayed by Charlie Chaplin in the 1915 silent comedy film "A Night in the Show."
|
E1344760
|
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: Mr. Pest | Statement: [A Night in the Show, featuresCharacter, Mr. Pest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Pest Context triple: [A Night in the Show, featuresCharacter, Mr. Pest]
-
A.
The Pest
The Pest is a 1997 slapstick comedy film starring John Leguizamo as a fast-talking con artist who becomes the target of a deadly manhunt.
-
B.
Petaurista
Petaurista is a genus of large flying squirrels known for their gliding membranes and nocturnal, arboreal lifestyle across forests in Asia.
-
C.
Mr. Piranha
Mr. Piranha is a hot-headed but good-hearted piranha and expert safe-cracker from the animated heist-comedy franchise "The Bad Guys."
-
D.
Mr. Snoops
Mr. Snoops is a bumbling, cowardly henchman and treasure hunter who serves as one of the primary antagonists in Disney’s animated film "The Rescuers."
-
E.
Mr. Pig
Mr. Pig is a character from the animated series "Adventure Time," known as the gentle, somewhat dim-witted pig who becomes Tree Trunks' husband.
- 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: Mr. Pest Triple: [A Night in the Show, featuresCharacter, Mr. Pest]
Generated description
Mr. Pest is the bumbling, troublemaking character portrayed by Charlie Chaplin in the 1915 silent comedy film "A Night in the Show."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Pest Target entity description: Mr. Pest is the bumbling, troublemaking character portrayed by Charlie Chaplin in the 1915 silent comedy film "A Night in the Show."
-
A.
The Pest
The Pest is a 1997 slapstick comedy film starring John Leguizamo as a fast-talking con artist who becomes the target of a deadly manhunt.
-
B.
Petaurista
Petaurista is a genus of large flying squirrels known for their gliding membranes and nocturnal, arboreal lifestyle across forests in Asia.
-
C.
Mr. Piranha
Mr. Piranha is a hot-headed but good-hearted piranha and expert safe-cracker from the animated heist-comedy franchise "The Bad Guys."
-
D.
Mr. Snoops
Mr. Snoops is a bumbling, cowardly henchman and treasure hunter who serves as one of the primary antagonists in Disney’s animated film "The Rescuers."
-
E.
Mr. Pig
Mr. Pig is a character from the animated series "Adventure Time," known as the gentle, somewhat dim-witted pig who becomes Tree Trunks' husband.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bec7b08190b040ec8b3693f037 |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bd068588190bc34b99796e1a3e1 |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0560c0ef4c819082b51fd8cee8c738 |
completed | May 14, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05615a8a7481908ec4c6f9835ca616 |
completed | May 14, 2026, 5:44 a.m. |
Created at: April 10, 2026, 11:56 a.m.