Triple
T18220882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Court (2023 revival) |
E436299
|
entity |
| Predicate | actorInRole |
P42172
|
FINISHED |
| Object |
Lacretta as Gurgs
Lacretta as Gurgs is a character portrayed by actress Lacretta in the 2023 revival of the sitcom "Night Court," serving as the courthouse's quirky and formidable bailiff.
|
E1313290
|
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: Lacretta as Gurgs | Statement: [Night Court (2023 revival), actorInRole, Lacretta as Gurgs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacretta as Gurgs Context triple: [Night Court (2023 revival), actorInRole, Lacretta as Gurgs]
-
A.
Gabalfa
Gabalfa is a residential district and electoral ward in the north of Cardiff, Wales, known for its major road junction and mixed housing.
-
B.
Larrelt
Larrelt is a district of the German seaport city of Emden in Lower Saxony.
-
C.
Crocetti
Crocetti is the original Italian surname of entertainer Dean Martin, born Dino Paul Crocetti.
-
D.
Latreillius
Latreillius is a genus of crustaceans named in honor of the French zoologist and entomologist Pierre André Latreille.
-
E.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
- 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: Lacretta as Gurgs Triple: [Night Court (2023 revival), actorInRole, Lacretta as Gurgs]
Generated description
Lacretta as Gurgs is a character portrayed by actress Lacretta in the 2023 revival of the sitcom "Night Court," serving as the courthouse's quirky and formidable bailiff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lacretta as Gurgs Target entity description: Lacretta as Gurgs is a character portrayed by actress Lacretta in the 2023 revival of the sitcom "Night Court," serving as the courthouse's quirky and formidable bailiff.
-
A.
Gabalfa
Gabalfa is a residential district and electoral ward in the north of Cardiff, Wales, known for its major road junction and mixed housing.
-
B.
Larrelt
Larrelt is a district of the German seaport city of Emden in Lower Saxony.
-
C.
Crocetti
Crocetti is the original Italian surname of entertainer Dean Martin, born Dino Paul Crocetti.
-
D.
Latreillius
Latreillius is a genus of crustaceans named in honor of the French zoologist and entomologist Pierre André Latreille.
-
E.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47b5bfc819085c5935c08361ba9 |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f1b982881909bbff3ce2c560c98 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a03a31626fc8190b68f8cdb780debed |
completed | May 12, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a37d8658819094a2b24259af9f29 |
completed | May 12, 2026, 10:02 p.m. |
Created at: April 10, 2026, 10:32 a.m.