Triple

T8130171
Position Surface form Disambiguated ID Type / Status
Subject Red Shift E189832 entity
Predicate mainCharacter P1183 FINISHED
Object Jan
Jan is the protagonist of the science fiction work "Red Shift," around whom the central narrative and its key events revolve.
 E715180 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: Jan | Statement: [Red Shift, mainCharacter, Jan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jan
Context triple: [Red Shift, mainCharacter, Jan]
  • A. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • B. Jan
    Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
  • C. Jan
    Jan is a fictional character appearing in the Traveling Wilburys’ song “Tweeter and the Monkey Man,” which tells a noir-style crime story.
  • D. Jan
    Jan is the given name of the Dutch mathematician and philosopher Luitzen Egbertus Jan Brouwer, a founder of intuitionism in the foundations of mathematics.
  • E. Jan
    Jan is one of the central comic characters in Alan Ayckbourn’s stage play "Bedroom Farce," involved in the interwoven marital mishaps that drive the farcical plot.
  • 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: Jan
Triple: [Red Shift, mainCharacter, Jan]
Generated description
Jan is the protagonist of the science fiction work "Red Shift," around whom the central narrative and its key events revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jan
Target entity description: Jan is the protagonist of the science fiction work "Red Shift," around whom the central narrative and its key events revolve.
  • A. Jan
    Jan is a fictional character appearing in the Traveling Wilburys’ song “Tweeter and the Monkey Man,” which tells a noir-style crime story.
  • B. Jan
    Jan is one of the central comic characters in Alan Ayckbourn’s stage play "Bedroom Farce," involved in the interwoven marital mishaps that drive the farcical plot.
  • C. Jan
    Jan is the given name of the Dutch mathematician and philosopher Luitzen Egbertus Jan Brouwer, a founder of intuitionism in the foundations of mathematics.
  • D. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • E. Jan
    Jan is a common Dutch given name, often used as a masculine form of "John" and borne by many notable figures in the Netherlands and other Dutch-speaking regions.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b7dbd881908a80f23090596eae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbebd0d0481908eb6989d1822421a completed April 1, 2026, 6:44 a.m.
NEDg Description generation batch_69ccc24c5684819093a4f58616122675 completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc38e85bc8190b0f4b2435a385f47 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:34 p.m.