Triple

T28212060

Position	Surface form	Disambiguated ID	Type / Status
Subject	James Garner as King Marchand	`E711197`	entity
Predicate	associatedWithNightclub	`P202945`	FINISHED
Object	Chez Lui (Victor/Victoria nightclub) Chez Lui is the elegant Parisian nightclub featured in the film "Victor/Victoria," serving as a central setting for its musical and comedic performances.	`E1809279`	NE FINISHED

How this triple was built (3 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: Chez Lui (Victor/Victoria nightclub) | Statement: [James Garner as King Marchand, associatedWithNightclub, Chez Lui (Victor/Victoria nightclub)]

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: Chez Lui (Victor/Victoria nightclub)
Triple: [James Garner as King Marchand, associatedWithNightclub, Chez Lui (Victor/Victoria nightclub)]

Generated description

Chez Lui is the elegant Parisian nightclub featured in the film "Victor/Victoria," serving as a central setting for its musical and comedic performances.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: associatedWithNightclub
Context triple: [James Garner as King Marchand, associatedWithNightclub, Chez Lui (Victor/Victoria nightclub)]

A. typeOfNightclub
Indicates a classification relationship where one entity specifies the particular kind or category of nightclub that another entity is.
B. nightlifeRole
Indicates the specific function or position an entity holds within nightlife activities, venues, or scenes.
C. isLocatedInCityWithClub
Indicates that an entity is situated in a city that has at least one (sports or similar) club based there.
D. openedAsNightclub
Indicates that an entity was initially established or began operating specifically as a nightclub.
E. nightlifeCharacter
Indicates a characteristic or quality associated with nightlife, such as the typical atmosphere, energy, or style of nighttime social activities.
F. None of above. chosen

Provenance (7 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_69efb51cb5288190818c1f63a266af11`	completed	April 27, 2026, 7:12 p.m.
NER	Named-entity recognition	`batch_6a00d508290081909f3d5dfbb2e80c8e`	completed	May 10, 2026, 6:57 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a15e6c04a308190b05050976ef07662`	completed	May 26, 2026, 6:30 p.m.
NEDg	Description generation	`batch_6a15ee708e188190af2a538d3aae5227`	completed	May 26, 2026, 7:03 p.m.
NED2	Entity disambiguation (via description)	`batch_6a15f40d69c48190ab96b08d36dcd904`	completed	May 26, 2026, 7:27 p.m.
PD	Predicate disambiguation	`batch_6a00d49da4cc81909566ad286ec22292`	completed	May 10, 2026, 6:55 p.m.
PDg	Predicate description generation	`batch_6a00d5073e188190b09916119a9c032d`	completed	May 10, 2026, 6:57 p.m.

Created at: April 27, 2026, 10:40 p.m.