Triple

T2865216
Position Surface form Disambiguated ID Type / Status
Subject Colin Hanks E63421 entity
Predicate spouse P13 FINISHED
Object Samantha Bryant
Samantha Bryant is an American publicist and former production assistant best known as the wife of actor Colin Hanks.
E321295 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: Samantha Bryant | Statement: [Colin Hanks, spouse, Samantha Bryant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samantha Bryant
Context triple: [Colin Hanks, spouse, Samantha Bryant]
  • A. Samantha Thompson
    Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
  • B. Samantha Winslow
    Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
  • C. Natalia Bryant
    Natalia Bryant is an American model and the eldest daughter of the late NBA legend Kobe Bryant and Vanessa Bryant.
  • D. Kay Medford
    Kay Medford was an American stage and screen actress best known for her Tony- and Oscar-nominated portrayal of Fanny Brice’s mother in the musical and film "Funny Girl."
  • E. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • 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: Samantha Bryant
Triple: [Colin Hanks, spouse, Samantha Bryant]
Generated description
Samantha Bryant is an American publicist and former production assistant best known as the wife of actor Colin Hanks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samantha Bryant
Target entity description: Samantha Bryant is an American publicist and former production assistant best known as the wife of actor Colin Hanks.
  • A. Samantha Thompson
    Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
  • B. Samantha Winslow
    Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
  • C. Natalia Bryant
    Natalia Bryant is an American model and the eldest daughter of the late NBA legend Kobe Bryant and Vanessa Bryant.
  • D. Kay Medford
    Kay Medford was an American stage and screen actress best known for her Tony- and Oscar-nominated portrayal of Fanny Brice’s mother in the musical and film "Funny Girl."
  • E. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb9e64c819087b1a47caeb174d5 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de87779c8190ae6833b80d34f5b2 completed March 11, 2026, 9:28 p.m.
NEDg Description generation batch_69b1dfba3b908190aba65ea5df39093d completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1e05e6cd08190ac843b0b551163f0 completed March 11, 2026, 9:36 p.m.
Created at: March 6, 2026, 10:02 p.m.