Triple

T11695144
Position Surface form Disambiguated ID Type / Status
Subject Christine Paulin-Mohring E277974 entity
Predicate givenName P17 FINISHED
Object Christine
Christine is a feminine given name of Greek origin, commonly used in many Western countries and derived from the name Christian.
E181083 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 Paulin-Mohring, givenName, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine
Context triple: [Christine Paulin-Mohring, 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 fictional character from the 1951 British drama film "Journey into Light."
  • C. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • D. 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.
  • E. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • 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 Paulin-Mohring, givenName, Christine]
Generated description
Christine is a feminine given name of Greek origin, commonly used in many Western countries and derived from the name Christian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christine
Target entity description: Christine is a feminine given name of Greek origin, commonly used in many Western countries and derived from the name Christian.
  • A. Christine chosen
    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 birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • D. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • E. Christine
    Christine is a fictional character from the 1951 British drama film "Journey into Light."
  • F. None of above.

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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1471cba88190a7abdcbf4f579ea9 completed April 27, 2026, 7:46 a.m.
NEDg Description generation batch_69ef511f8f688190b2806d4e8ab16511 completed April 27, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ef537efcc48190afffaa50f28940d8 completed April 27, 2026, 12:15 p.m.
Created at: April 8, 2026, 9:40 p.m.