Triple

T12935612
Position Surface form Disambiguated ID Type / Status
Subject Laura Jeanne Reese Witherspoon E309498 entity
Predicate birthName P65 FINISHED
Object Laura Jeanne E309498 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: Laura Jeanne | Statement: [Laura Jeanne Reese Witherspoon, birthName, Laura Jeanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Jeanne
Context triple: [Laura Jeanne Reese Witherspoon, birthName, Laura Jeanne]
  • A. Laura Jeanne chosen
    Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
  • B. Laura Laurent
    Laura Laurent is a song by the American indie rock band Bright Eyes from their album "Lifted or The Story Is in the Soil, Keep Your Ear to the Ground."
  • C. Therese Larimore
    Therese Larimore is a character appearing in the horror anthology film "Trilogy of Terror."
  • D. Laura Jennings
    Laura Jennings is a film editor best known for her work on major action and science fiction movies, including the Tom Cruise–led blockbuster "Edge of Tomorrow."
  • E. Laura Harrington
    Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc76d688190bd58a23351373666 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e264475c8190940f83c57f51585d completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:42 p.m.