Triple

T52757
Position Surface form Disambiguated ID Type / Status
Subject Chrissy Teigen E1036 entity
Predicate givenName P17 FINISHED
Object Christine
Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
E5573 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: [Chrissy Teigen, givenName, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine
Context triple: [Chrissy Teigen, givenName, Christine]
  • A. Once Again
    Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
  • B. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • C. Milwaukee Deep
    Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
  • D. Big Blue
    Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
  • E. Crown
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • 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: [Chrissy Teigen, givenName, Christine]
Generated description
Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christine
Target entity description: Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • A. Encore
    Encore is a luxury casino and resort brand operated by Wynn Resorts, known for its upscale accommodations, gaming, dining, and entertainment offerings.
  • B. Once Again
    Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
  • C. Savior
    Savior is a Christian title for Jesus Christ, emphasizing his role as the divine redeemer who delivers humanity from sin and spiritual death.
  • D. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • E. Milwaukee Deep
    Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b04ef708190876686da9db1f04d completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255398bac81909c4ae9bba79f6c19 completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a2570e30d88190b7a0d20cf3a94760 completed Feb. 28, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69a257a1f340819091d3aa5a665ce50b completed Feb. 28, 2026, 2:49 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.