Triple

T3554473
Position Surface form Disambiguated ID Type / Status
Subject Christina E75185 entity
Predicate hasNotableBearer P458 FINISHED
Object Christina Hendricks E81848 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: Christina Hendricks | Statement: [Christina, hasNotableBearer, Christina Hendricks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christina Hendricks
Context triple: [Christina, hasNotableBearer, Christina Hendricks]
  • A. Christina Hendricks chosen
    Christina Hendricks is an American actress best known for her Emmy-nominated role as Joan Holloway on the television series "Mad Men."
  • B. Alex Kingston
    Alex Kingston is an English actress best known for her roles in the television series "ER" and "Doctor Who," as well as numerous film and stage productions.
  • C. Melissa George
    Melissa George is an Australian actress known for her roles in both film and television, including prominent performances in horror and thriller genres.
  • D. Erica Durance
    Erica Durance is a Canadian actress best known for playing Lois Lane on the television series "Smallville."
  • E. Selma Blair
    Selma Blair is an American actress known for her roles in films such as "Cruel Intentions," "Legally Blonde," and the "Hellboy" series, as well as for her public advocacy following her multiple sclerosis diagnosis.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05549d88190acdebdd542ea1a67 completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bf1c3e881908e7fc3b4df24e72b completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.