Triple

T7610375
Position Surface form Disambiguated ID Type / Status
Subject Sarah Jennings E172219 entity
Predicate birthName P65 FINISHED
Object Sarah Jennings E172219 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: Sarah Jennings | Statement: [Sarah Jennings, birthName, Sarah Jennings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Jennings
Context triple: [Sarah Jennings, birthName, Sarah Jennings]
  • A. Sarah Jennings chosen
    Sarah Jennings, later known as Sarah Churchill, Duchess of Marlborough, was a powerful English courtier and close confidante of Queen Anne who became one of the most influential women in early 18th-century British politics.
  • B. Rachel Taylor
    Rachel Taylor was the second wife of acclaimed American actor Jason Robards, with whom she was married in the mid-20th century.
  • C. Sarah James
    Sarah James is a British television producer best known for serving as the executive producer of the BBC dance competition show Strictly Come Dancing.
  • D. Sarah Baldwin
    Sarah Baldwin is an actress known for appearing in the romantic comedy film "Something Borrowed."
  • E. Hillary Harrison
    Hillary Harrison is the central character of the television series "Trophy Wife," around whom the show's comedic family dynamics and storylines revolve.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa20ac2c8190ac7ab90b4df406b6 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868600c7c81909cdeebdb5b2bdaf3 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.