Triple

T16340339
Position Surface form Disambiguated ID Type / Status
Subject Christine Louise of Oettingen-Oettingen E396781 entity
Predicate givenName P17 FINISHED
Object Christine
Christine is the given name of Christine Louise of Oettingen-Oettingen, a German noblewoman from the House of Oettingen in the 17th–18th century.
 E1208033 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: Christine | Statement: [Christine Louise of Oettingen-Oettingen, givenName, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christine
Context triple: [Christine Louise of Oettingen-Oettingen, givenName, Christine]
  • A. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • B. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • C. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • D. Christine
    Christine is the given first name of American singer, songwriter, and actress Christina Milian.
  • E. Christine
    Christine is a 1983 horror film directed by John Carpenter about a possessed, malevolent 1958 Plymouth Fury.
  • 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: Christine
Triple: [Christine Louise of Oettingen-Oettingen, givenName, Christine]
Generated description
Christine is the given name of Christine Louise of Oettingen-Oettingen, a German noblewoman from the House of Oettingen in the 17th–18th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christine
Target entity description: Christine is the given name of Christine Louise of Oettingen-Oettingen, a German noblewoman from the House of Oettingen in the 17th–18th century.
  • A. Christine
    Christine is a feminine given name of Greek origin meaning "follower of Christ," widely used in many Western countries.
  • B. Christine
    Christine is the given name of Canadian soccer legend Christine Sinclair, one of the most prolific goal scorers in international football history.
  • C. Christine
    Christine is the given first name of American singer, songwriter, and actress Christina Milian.
  • D. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • E. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da09dcf48190b6fdd14b1812c56a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dadcaa48190865cec201cde47e3 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002e8094e08190b168d6ae5e9de604 completed May 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_6a002f4c23e481909bf11d7329e0bd6f completed May 10, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:07 a.m.