Triple

T22163535
Position Surface form Disambiguated ID Type / Status
Subject Los amantes del Círculo Polar E547730 entity
Predicate mainCharacter P1183 FINISHED
Object Otto
Otto is one of the two intertwined protagonists in the Spanish romantic drama film "Los amantes del Círculo Polar," whose life and love story are marked by coincidence and circular destiny.
E1522751 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: Otto | Statement: [Los amantes del Círculo Polar, mainCharacter, Otto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otto
Context triple: [Los amantes del Círculo Polar, mainCharacter, Otto]
  • A. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • B. Otto
    Otto is a given name of Germanic origin commonly used across various European countries.
  • C. Otto
    Otto was a lesser-known medieval Polish prince from the Piast dynasty, notable mainly as a younger son of Duke Casimir I the Restorer.
  • D. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • E. Otto
    Otto was a self-driving truck startup focused on autonomous freight technology, later integrated into Uber’s autonomous vehicle efforts.
  • 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: Otto
Triple: [Los amantes del Círculo Polar, mainCharacter, Otto]
Generated description
Otto is one of the two intertwined protagonists in the Spanish romantic drama film "Los amantes del Círculo Polar," whose life and love story are marked by coincidence and circular destiny.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Otto
Target entity description: Otto is one of the two intertwined protagonists in the Spanish romantic drama film "Los amantes del Círculo Polar," whose life and love story are marked by coincidence and circular destiny.
  • A. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • B. Otto
    Otto is a given name of Germanic origin commonly used across various European countries.
  • C. Otto
    Otto was a lesser-known medieval Polish prince from the Piast dynasty, notable mainly as a younger son of Duke Casimir I the Restorer.
  • D. Otto
    Otto was a self-driving truck startup focused on autonomous freight technology, later integrated into Uber’s autonomous vehicle efforts.
  • E. Otto
    Otto is one of the official mascots created for the 2002 Winter Olympics held in Salt Lake City.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2f2f90819080b5bb73a6052c24 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ebca89c81908f2c4c3846377be5 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9faeac54819096ff39be4bbd690a completed May 18, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa05b6b7481908cbada539c02556d completed May 18, 2026, 5:15 a.m.
Created at: April 16, 2026, 8:34 p.m.