Triple

T4989098
Position Surface form Disambiguated ID Type / Status
Subject Rod Kimble E112083 entity
Predicate loveInterest P7325 FINISHED
Object Denise
Denise is a central character in the comedy film "Hot Rod," serving as Rod Kimble's kind-hearted and supportive love interest.
E484944 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: Denise | Statement: [Rod Kimble, loveInterest, Denise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise
Context triple: [Rod Kimble, loveInterest, Denise]
  • A. Denise
    Denise is the custom video display chip used in early Commodore Amiga computers, responsible for handling their advanced graphics and sprite capabilities.
  • B. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • C. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • D. Denise Mara
    Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
  • E. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • 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: Denise
Triple: [Rod Kimble, loveInterest, Denise]
Generated description
Denise is a central character in the comedy film "Hot Rod," serving as Rod Kimble's kind-hearted and supportive love interest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Denise
Target entity description: Denise is a central character in the comedy film "Hot Rod," serving as Rod Kimble's kind-hearted and supportive love interest.
  • A. Denise
    Denise is the custom video display chip used in early Commodore Amiga computers, responsible for handling their advanced graphics and sprite capabilities.
  • B. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • C. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • D. Denise Mara
    Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
  • E. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727eae1c819085e5548faadbd162 completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a2496a48190a517c92b85834db9 completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8ca8e0c88190ae92aa0a7c5af5f4 completed March 21, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69be8cfc7fb081909a68ff6089c0f04c completed March 21, 2026, 12:20 p.m.
Created at: March 20, 2026, 1:34 p.m.