Triple

T15267058
Position Surface form Disambiguated ID Type / Status
Subject Gloria Talbott E364925 entity
Predicate spouse P13 FINISHED
Object Mark Smith
Mark Smith is best known as the husband of American film and television actress Gloria Talbott.
E1147626 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: Mark Smith | Statement: [Gloria Talbott, spouse, Mark Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Smith
Context triple: [Gloria Talbott, spouse, Mark Smith]
  • A. Mark Smith
    Mark Smith is a renowned designer known for his influential work with Nike, including creating iconic basketball-related trophies and products.
  • B. Nick Smith
    Nick Smith is the doomed husband and diner owner whose murder becomes the central plot of the 1946 film noir "The Postman Always Rings Twice."
  • C. Greg Smith
    Greg Smith is a British Conservative Party politician who has served as the Member of Parliament for the Buckingham constituency.
  • D. Greg Smith
    Greg Smith is a film producer best known for his work on the British comedy-drama "Brassed Off."
  • E. Tim Smith
    Tim Smith is a musician best known as a member of the influential proto-punk band Death.
  • 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: Mark Smith
Triple: [Gloria Talbott, spouse, Mark Smith]
Generated description
Mark Smith is best known as the husband of American film and television actress Gloria Talbott.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mark Smith
Target entity description: Mark Smith is best known as the husband of American film and television actress Gloria Talbott.
  • A. Mark Smith
    Mark Smith is a renowned designer known for his influential work with Nike, including creating iconic basketball-related trophies and products.
  • B. Nick Smith
    Nick Smith is the doomed husband and diner owner whose murder becomes the central plot of the 1946 film noir "The Postman Always Rings Twice."
  • C. Greg Smith
    Greg Smith is a British Conservative Party politician who has served as the Member of Parliament for the Buckingham constituency.
  • D. Greg Smith
    Greg Smith is a film producer best known for his work on the British comedy-drama "Brassed Off."
  • E. Tim Smith
    Tim Smith is a musician best known as a member of the influential proto-punk band Death.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee600340c8190a1888d35c2c1bc86 completed May 9, 2026, 7:45 a.m.
NEDg Description generation batch_69fee714cf6c81908dc4427590eeae85 completed May 9, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69feeae4731081909964bd8b1ea3dd7a completed May 9, 2026, 8:05 a.m.
Created at: April 10, 2026, 3:14 a.m.