Triple

T23159122
Position Surface form Disambiguated ID Type / Status
Subject Grace McKagan E578529 entity
Predicate givenName P17 FINISHED
Object Grace
Grace is a given name commonly used for females, derived from the Latin word for "favor" or "blessing."
E295685 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: Grace | Statement: [Grace McKagan, givenName, Grace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace
Context triple: [Grace McKagan, givenName, Grace]
  • A. Grace
    Grace is the central Christian concept of God’s unmerited favor and loving initiative toward humanity, enabling salvation and spiritual transformation.
  • B. Grace
    Grace is a cybernetically enhanced human soldier from the future who serves as one of the main protagonists in the film "Terminator: Dark Fate."
  • C. Grace
    "Grace" is a track by Nigerian singer Wizkid from his acclaimed Afrobeats album "Made in Lagos."
  • D. Grace
    Grace is a supporting character in the television series "Dr. Quinn, Medicine Woman," known as the town's skilled and compassionate café owner and cook.
  • E. Grace
    "Grace" is a track by the French electronic music artist Orphée, known for its atmospheric, melodic sound.
  • 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: Grace
Triple: [Grace McKagan, givenName, Grace]
Generated description
Grace is a given name commonly used for females, derived from the Latin word for "favor" or "blessing."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grace
Target entity description: Grace is a given name commonly used for females, derived from the Latin word for "favor" or "blessing."
  • A. Grace chosen
    Grace is a feminine given name of Latin origin meaning "grace" or "favor," often associated with elegance and kindness.
  • B. Grace
    Grace is a common English surname of Latin origin, often associated with elegance and divine favor.
  • C. Grace
    Grace is the central Christian concept of God’s unmerited favor and loving initiative toward humanity, enabling salvation and spiritual transformation.
  • D. Grace
    Grace is a 2009 American horror film known for its disturbing story of a mother who wills her stillborn baby back to life, starring Jordan Ladd.
  • E. Grace
    Grace is a supporting character in the television series "Dr. Quinn, Medicine Woman," known as the town's skilled and compassionate café owner and cook.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efeddd48190b6d03d2146583dcc completed April 29, 2026, 4:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c309a54b881909b53677488534b7c completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c3105ab388190b135f5c7de240023 completed May 19, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0c317738d08190adfe51d2b8075f1b completed May 19, 2026, 9:46 a.m.
Created at: April 17, 2026, 4:02 p.m.