Triple

T6959884
Position Surface form Disambiguated ID Type / Status
Subject Fairuza Balk E161342 entity
Predicate notableWork P4 FINISHED
Object Gas Food Lodging
Gas Food Lodging is a 1992 independent drama film about a single mother and her two daughters navigating love and hardship in a small New Mexico town.
 E631505 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: Gas Food Lodging | Statement: [Fairuza Balk, notableWork, Gas Food Lodging]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gas Food Lodging
Context triple: [Fairuza Balk, notableWork, Gas Food Lodging]
  • A. Inn
    The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • B. Hotevilla
    Hotevilla is a traditional Hopi village in northeastern Arizona known for its strong preservation of Hopi culture and resistance to outside influence.
  • C. Hotel
    "Hotel" is an American television drama series from the 1980s, based on an Arthur Hailey novel, that follows the staff and guests of a luxurious San Francisco hotel.
  • D. Lodge
    Lodge is a surname most notably associated with the prominent American political family that included Senator Henry Cabot Lodge.
  • E. Cabanas
    Cabanas is a beach-themed lodging area within Disney’s Coronado Springs Resort featuring colorful, waterfront-style buildings and relaxed, tropical surroundings.
  • 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: Gas Food Lodging
Triple: [Fairuza Balk, notableWork, Gas Food Lodging]
Generated description
Gas Food Lodging is a 1992 independent drama film about a single mother and her two daughters navigating love and hardship in a small New Mexico town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gas Food Lodging
Target entity description: Gas Food Lodging is a 1992 independent drama film about a single mother and her two daughters navigating love and hardship in a small New Mexico town.
  • A. Inn
    The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • B. Hotevilla
    Hotevilla is a traditional Hopi village in northeastern Arizona known for its strong preservation of Hopi culture and resistance to outside influence.
  • C. Hotel
    "Hotel" is an American television drama series from the 1980s, based on an Arthur Hailey novel, that follows the staff and guests of a luxurious San Francisco hotel.
  • D. Lodge
    Lodge is a surname most notably associated with the prominent American political family that included Senator Henry Cabot Lodge.
  • E. Cabanas
    Cabanas is a beach-themed lodging area within Disney’s Coronado Springs Resort featuring colorful, waterfront-style buildings and relaxed, tropical surroundings.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daedbb4c8190b46846fb1265b937 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75893a4808190b94a70d8823a01d3 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759d65a008190a6121949651dcd5c completed March 28, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_69c75a7a0af88190abf9d1dc4efd8b29 completed March 28, 2026, 4:35 a.m.
Created at: March 27, 2026, 2:29 p.m.