Triple

T8110935
Position Surface form Disambiguated ID Type / Status
Subject Moira Kelly E189346 entity
Predicate notableWork P4 FINISHED
Object To Have & to Hold
To Have & to Hold is a 1998 American television drama series centered on the marriage of a public defender and a police officer in Boston.
 E712754 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: To Have & to Hold | Statement: [Moira Kelly, notableWork, To Have & to Hold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: To Have & to Hold
Context triple: [Moira Kelly, notableWork, To Have & to Hold]
  • A. To Have and Not to Hold
    "To Have and Not to Hold" is a melancholic pop ballad by Madonna from her critically acclaimed 1998 album "Ray of Light," reflecting themes of longing, distance, and emotional restraint in a relationship.
  • B. Honest I Do
    "Honest I Do" is a classic blues song by Jimmy Reed, recognized as one of his signature recordings and an influential staple of electric blues.
  • C. Key to Love
    "Key to Love" is a song featured on the Weeknd's album "After Hours."
  • D. Here to Love
    "Here to Love" is a soulful rock song by Lenny Kravitz that promotes unity, compassion, and social justice.
  • E. Eternally Yours
    Eternally Yours is a 1939 romantic comedy film produced by Hollywood filmmaker Walter Wanger, known for its blend of romance, magic, and lighthearted drama.
  • 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: To Have & to Hold
Triple: [Moira Kelly, notableWork, To Have & to Hold]
Generated description
To Have & to Hold is a 1998 American television drama series centered on the marriage of a public defender and a police officer in Boston.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: To Have & to Hold
Target entity description: To Have & to Hold is a 1998 American television drama series centered on the marriage of a public defender and a police officer in Boston.
  • A. To Have and Not to Hold
    "To Have and Not to Hold" is a melancholic pop ballad by Madonna from her critically acclaimed 1998 album "Ray of Light," reflecting themes of longing, distance, and emotional restraint in a relationship.
  • B. Honest I Do
    "Honest I Do" is a classic blues song by Jimmy Reed, recognized as one of his signature recordings and an influential staple of electric blues.
  • C. Key to Love
    "Key to Love" is a song featured on the Weeknd's album "After Hours."
  • D. Here to Love
    "Here to Love" is a soulful rock song by Lenny Kravitz that promotes unity, compassion, and social justice.
  • E. Eternally Yours
    Eternally Yours is a 1939 romantic comedy film produced by Hollywood filmmaker Walter Wanger, known for its blend of romance, magic, and lighthearted drama.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fcfb9c81908496f9a7e30d0d8a completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc942a9af881908b7ddc724755893e completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc969e0ecc8190973658542d1406bc completed April 1, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69cc97781c0481909d21293633d111be completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.