Triple

T1866260
Position Surface form Disambiguated ID Type / Status
Subject John Holmes E34928 entity
Predicate spouse P13 FINISHED
Object Sharon Gebenini
Sharon Gebenini is known as the wife of the late American adult film actor John Holmes.
 E212791 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: Sharon Gebenini | Statement: [John Holmes, spouse, Sharon Gebenini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sharon Gebenini
Context triple: [John Holmes, spouse, Sharon Gebenini]
  • A. Gina Ruberti
    Gina Ruberti was the wife of Bruno Mussolini, the son of Italian dictator Benito Mussolini.
  • B. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • C. Heidi Tagliavini
    Heidi Tagliavini is a Swiss diplomat known for her high-profile roles in international conflict mediation and peace negotiations, particularly in the post-Soviet space.
  • D. Shoshanna Shapiro
    Shoshanna Shapiro is a bubbly, fast-talking, and naive yet increasingly self-assured young woman featured as one of the core friends navigating adulthood in the TV series "Girls."
  • E. Roberta Romano
    Roberta Romano is a prominent American legal scholar known for her influential work on corporate law and governance, and for serving as a long-time professor at Yale Law School.
  • 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: Sharon Gebenini
Triple: [John Holmes, spouse, Sharon Gebenini]
Generated description
Sharon Gebenini is known as the wife of the late American adult film actor John Holmes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sharon Gebenini
Target entity description: Sharon Gebenini is known as the wife of the late American adult film actor John Holmes.
  • A. Gina Ruberti
    Gina Ruberti was the wife of Bruno Mussolini, the son of Italian dictator Benito Mussolini.
  • B. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • C. Heidi Tagliavini
    Heidi Tagliavini is a Swiss diplomat known for her high-profile roles in international conflict mediation and peace negotiations, particularly in the post-Soviet space.
  • D. Shoshanna Shapiro
    Shoshanna Shapiro is a bubbly, fast-talking, and naive yet increasingly self-assured young woman featured as one of the core friends navigating adulthood in the TV series "Girls."
  • E. Roberta Romano
    Roberta Romano is a prominent American legal scholar known for her influential work on corporate law and governance, and for serving as a long-time professor at Yale Law School.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0b5978c81909390f2cbd716ccaf completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae06e5c8190b20cce9c047f6087 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adebd146408190b80a7d8e8974a90d completed March 8, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69adec551c688190a0bcdc16ab6e3ecc completed March 8, 2026, 9:38 p.m.
Created at: March 4, 2026, 7:34 p.m.