Triple

T18206786
Position Surface form Disambiguated ID Type / Status
Subject We (novel) E435921 entity
Predicate character P662 FINISHED
Object I-330
I-330 is a rebellious, enigmatic woman in Yevgeny Zamyatin’s dystopian novel "We," who seduces the protagonist and embodies resistance against the totalitarian One State.
E1311974 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: I-330 | Statement: [We (novel), character, I-330]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I-330
Context triple: [We (novel), character, I-330]
  • A. I-335
    I-335 is a segment of the Kansas Turnpike that forms part of the Interstate Highway System, connecting Emporia and Topeka in eastern Kansas.
  • B. I-390
    I-390 is a toll highway in northeastern Illinois that serves as a major east–west connector in the Chicago metropolitan area.
  • C. I-391
    I-391 is a short auxiliary Interstate Highway in western Massachusetts that connects Interstate 91 in Chicopee to Holyoke, serving as a spur route into the city.
  • D. I-293
    I-293 is a short auxiliary Interstate Highway in New Hampshire that forms a partial beltway around the city of Manchester.
  • E. I-375
    I-375 is a short auxiliary Interstate Highway in downtown Detroit, Michigan, connecting I-75 to the city's central business district and riverfront.
  • 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: I-330
Triple: [We (novel), character, I-330]
Generated description
I-330 is a rebellious, enigmatic woman in Yevgeny Zamyatin’s dystopian novel "We," who seduces the protagonist and embodies resistance against the totalitarian One State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: I-330
Target entity description: I-330 is a rebellious, enigmatic woman in Yevgeny Zamyatin’s dystopian novel "We," who seduces the protagonist and embodies resistance against the totalitarian One State.
  • A. I-335
    I-335 is a segment of the Kansas Turnpike that forms part of the Interstate Highway System, connecting Emporia and Topeka in eastern Kansas.
  • B. I-390
    I-390 is a toll highway in northeastern Illinois that serves as a major east–west connector in the Chicago metropolitan area.
  • C. I-391
    I-391 is a short auxiliary Interstate Highway in western Massachusetts that connects Interstate 91 in Chicopee to Holyoke, serving as a spur route into the city.
  • D. I-293
    I-293 is a short auxiliary Interstate Highway in New Hampshire that forms a partial beltway around the city of Manchester.
  • E. I-375
    I-375 is a short auxiliary Interstate Highway in downtown Detroit, Michigan, connecting I-75 to the city's central business district and riverfront.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2243de081908a5bcc7e2072eae7 completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f10036c8190a1537632a19f0e23 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039febd13881908423ee008d3ba1c3 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a088b4a0819093720af0308060ee completed May 12, 2026, 9:50 p.m.
Created at: April 10, 2026, 10:32 a.m.