Triple

T20119510
Position Surface form Disambiguated ID Type / Status
Subject New West Motel E490563 entity
Predicate hasPart P35 FINISHED
Object Firetrap
Firetrap is a component or section of the New West Motel, likely a themed room, venue, or feature within the motel complex.
 E1413395 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: Firetrap | Statement: [New West Motel, hasPart, Firetrap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Firetrap
Context triple: [New West Motel, hasPart, Firetrap]
  • A. The Trap
    "The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
  • B. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • C. House on Fire
    "House on Fire" is a song by the American rock band Wolves.
  • D. House on Fire
    House on Fire is a nonfiction book by William H. Foege recounting the global campaign to eradicate smallpox and his central role in that historic public health effort.
  • E. Fire Below
    Fire Below is a comic adventure novel by British author Dornford Yates, featuring his characteristic blend of upper-class characters, fast-paced escapades, and light-hearted intrigue.
  • 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: Firetrap
Triple: [New West Motel, hasPart, Firetrap]
Generated description
Firetrap is a component or section of the New West Motel, likely a themed room, venue, or feature within the motel complex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Firetrap
Target entity description: Firetrap is a component or section of the New West Motel, likely a themed room, venue, or feature within the motel complex.
  • A. The Trap
    "The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
  • B. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • C. House on Fire
    "House on Fire" is a song by the American rock band Wolves.
  • D. House on Fire
    House on Fire is a nonfiction book by William H. Foege recounting the global campaign to eradicate smallpox and his central role in that historic public health effort.
  • E. Fire Below
    Fire Below is a comic adventure novel by British author Dornford Yates, featuring his characteristic blend of upper-class characters, fast-paced escapades, and light-hearted intrigue.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673cfaac81909d6216f3e37c2439 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082dd36f4c8190ad163c451f748e08 completed May 16, 2026, 8:41 a.m.
NEDg Description generation batch_6a082ee3aafc819088a14b0a5d655072 completed May 16, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a082f70e24881909c43a85289df4976 completed May 16, 2026, 8:48 a.m.
Created at: April 11, 2026, 11:30 p.m.