Triple

T16297741
Position Surface form Disambiguated ID Type / Status
Subject Rafael Yglesias E395693 entity
Predicate notableWork P4 FINISHED
Object Hot Properties
Hot Properties is a novel by American writer Rafael Yglesias, known for its sharp, contemporary exploration of relationships and urban life.
 E1205956 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: Hot Properties | Statement: [Rafael Yglesias, notableWork, Hot Properties]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hot Properties
Context triple: [Rafael Yglesias, notableWork, Hot Properties]
  • A. HOT
    HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
  • B. HOT
    HOT is the stock ticker symbol for Hochtief, a major German construction and infrastructure company.
  • C. HOT
    HOT is the vehicle registration code used on license plates for vehicles registered in the Zwickau district of Germany.
  • D. Hot Stuff
    "Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
  • E. hot gates
    "Hot Gates" is the literal meaning of the name Thermopylae, a narrow coastal pass in Greece famed as the site of the legendary last stand of King Leonidas and his Spartan-led forces against the Persian army.
  • 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: Hot Properties
Triple: [Rafael Yglesias, notableWork, Hot Properties]
Generated description
Hot Properties is a novel by American writer Rafael Yglesias, known for its sharp, contemporary exploration of relationships and urban life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hot Properties
Target entity description: Hot Properties is a novel by American writer Rafael Yglesias, known for its sharp, contemporary exploration of relationships and urban life.
  • A. HOT
    HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
  • B. HOT
    HOT is the stock ticker symbol for Hochtief, a major German construction and infrastructure company.
  • C. HOT
    HOT is the vehicle registration code used on license plates for vehicles registered in the Zwickau district of Germany.
  • D. Hot Stuff
    "Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
  • E. hot gates
    "Hot Gates" is the literal meaning of the name Thermopylae, a narrow coastal pass in Greece famed as the site of the legendary last stand of King Leonidas and his Spartan-led forces against the Persian army.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2f486c8190b73c15f59335cde2 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9b42248190a3c8c2647a42aeb9 completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021e42c6481909c7cb0c2ed63ab27 completed May 10, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a00223de3888190a0d5d81af1fa4de2 completed May 10, 2026, 6:14 a.m.
Created at: April 10, 2026, 5:06 a.m.