Triple

T2226271
Position Surface form Disambiguated ID Type / Status
Subject Uzal G. Ent E48655 entity
Predicate familyName P18 FINISHED
Object Ent
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
 E246110 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: Ent | Statement: [Uzal G. Ent, familyName, Ent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ent
Context triple: [Uzal G. Ent, familyName, Ent]
  • A. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • B. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • C. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • D. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • E. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • 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: Ent
Triple: [Uzal G. Ent, familyName, Ent]
Generated description
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ent
Target entity description: Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
  • A. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • B. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • C. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • D. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • E. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0411e388190b35e82ad6688bfe3 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6565513081908b1117d16c375aec completed March 9, 2026, 6:15 a.m.
NEDg Description generation batch_69ae67387ce08190aca43fdf949e98b2 completed March 9, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae679aa46c8190a7431f661f65580b completed March 9, 2026, 6:24 a.m.
Created at: March 4, 2026, 7:47 p.m.