Triple

T13663840
Position Surface form Disambiguated ID Type / Status
Subject Christine King Farris E327064 entity
Predicate givenName P17 FINISHED
Object Christine
Christine is a feminine given name of Greek origin, commonly used in English-speaking 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 King Farris, givenName, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christine
Context triple: [Christine King Farris, givenName, Christine]
  • A. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • B. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • C. Christine
    "Christine" is a 1980 post-punk/gothic rock single by Siouxsie and the Banshees, noted for its dark, atmospheric sound and psychologically themed lyrics.
  • D. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • E. 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.
  • 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 King Farris, givenName, Christine]
Generated description
Christine is a feminine given name of Greek origin, commonly used in English-speaking 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 English-speaking 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0ac4c88190ab6f753c6847eb6e completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78cdf1a74819087b0370060ddfa99 completed May 3, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69f78e00007c81909007a751fd4625c2 completed May 3, 2026, 6:03 p.m.
Created at: April 9, 2026, 9:52 p.m.