Triple

T13400320
Position Surface form Disambiguated ID Type / Status
Subject Stefan Holt E319809 entity
Predicate parent P120 FINISHED
Object Carol Hagen-Holt E1201627 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: Carol Hagen-Holt | Statement: [Stefan Holt, parent, Carol Hagen-Holt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Hagen-Holt
Context triple: [Stefan Holt, parent, Carol Hagen-Holt]
  • A. Carol Hagen Holt chosen
    Carol Hagen Holt is an American real estate agent and former flight attendant best known as the longtime wife of NBC Nightly News anchor Lester Holt.
  • B. Carol Hagen
    Carol Hagen is an American real estate agent best known as the wife of NBC Nightly News anchor Lester Holt.
  • C. Carol Henning
    Carol Henning was the first wife of American author John Steinbeck, with whom he lived during his early, formative years as a writer.
  • D. Rose Hattenbarger
    Rose Hattenbarger is a fictional character from the television series "Hart of Dixie," known as a sweet and quirky teen living in the small town of Bluebell, Alabama.
  • E. Jane Holt
    Jane Holt was the wife of prominent 18th-century Presbyterian minister and educator Samuel Davies.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae47e99081909d8b5dba97a11988 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e6bc748190b8099e7559569a90 completed May 10, 2026, 6:29 a.m.
Created at: April 9, 2026, 9:34 p.m.