Triple

T16044582
Position Surface form Disambiguated ID Type / Status
Subject Henry Roth E389182 entity
Predicate associatedWith P37 FINISHED
Object Ula
Ula is a character connected to the life and experiences depicted in Henry Roth’s semi-autobiographical writings.
 E1191193 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: Ula | Statement: [Henry Roth, associatedWith, Ula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ula
Context triple: [Henry Roth, associatedWith, Ula]
  • A. Ula
    Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
  • B. Ule
    Ule is a short form of the German given name Ulrich, often used as a familiar or affectionate nickname.
  • C. Ulassai
    Ulassai is a small mountain village in central-eastern Sardinia, Italy, known for its dramatic limestone cliffs, waterfalls, and contemporary art installations linked to artist Maria Lai.
  • D. Uslar
    Uslar is a small town in Lower Saxony, Germany, known for its location in the Weser Uplands and its traditional half-timbered architecture.
  • E. Ukiel
    Ukiel is a prominent lake near the city of Olsztyn in northern Poland, known for its recreational opportunities and scenic 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: Ula
Triple: [Henry Roth, associatedWith, Ula]
Generated description
Ula is a character connected to the life and experiences depicted in Henry Roth’s semi-autobiographical writings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ula
Target entity description: Ula is a character connected to the life and experiences depicted in Henry Roth’s semi-autobiographical writings.
  • A. Ula
    Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
  • B. Ule
    Ule is a short form of the German given name Ulrich, often used as a familiar or affectionate nickname.
  • C. Ulassai
    Ulassai is a small mountain village in central-eastern Sardinia, Italy, known for its dramatic limestone cliffs, waterfalls, and contemporary art installations linked to artist Maria Lai.
  • D. Uslar
    Uslar is a small town in Lower Saxony, Germany, known for its location in the Weser Uplands and its traditional half-timbered architecture.
  • E. Ukiel
    Ukiel is a prominent lake near the city of Olsztyn in northern Poland, known for its recreational opportunities and scenic 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835d1dac819089abec9f0668ec78 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbdbcf248190b7122d61d857e806 completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffdcdb551c8190b367407b749314e8 completed May 10, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69ffddbfaf088190a644e7898f995c1d completed May 10, 2026, 1:22 a.m.
Created at: April 10, 2026, 4:56 a.m.