Triple

T3784976
Position Surface form Disambiguated ID Type / Status
Subject Christina Ricci E85508 entity
Predicate spouse P13 FINISHED
Object Mark Hampton E93563 NE FINISHED

How this triple was built (2 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 Hampton | Statement: [Christina Ricci, spouse, Mark Hampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Hampton
Context triple: [Christina Ricci, spouse, Mark Hampton]
  • A. Mark Hampton chosen
    Mark Hampton is a British hairstylist and groomer known for his work in fashion and entertainment and for being married to actress Christina Ricci.
  • B. John Haglelgam
    John Haglelgam is a Micronesian politician who served as the second President of the Federated States of Micronesia from 1987 to 1991.
  • C. Alex Hannum
    Alex Hannum was an American professional basketball coach and former player best known for leading multiple teams, including the St. Louis Hawks and Philadelphia 76ers, to NBA championships.
  • D. George Hamlin
    George Hamlin is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Hamlin surname.
  • E. Jonathan Hunt
    Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dd80f08190a1704521a764e22c completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04a35448190a57f431ef703b1e1 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:13 p.m.