Triple

T15911328
Position Surface form Disambiguated ID Type / Status
Subject Tipper Gore E385853 entity
Predicate hasChild P369 FINISHED
Object Sarah Gore E153023 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 Gore | Statement: [Tipper Gore, hasChild, Sarah Gore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Gore
Context triple: [Tipper Gore, hasChild, Sarah Gore]
  • A. Sarah Gore chosen
    Sarah Gore is the daughter of former U.S. Vice President Al Gore and his then-wife Tipper Gore.
  • B. Elizabeth Thorn
    Elizabeth Thorn was a German-born caretaker of Evergreen Cemetery in Gettysburg who became notable for burying numerous soldiers after the Battle of Gettysburg while six months pregnant.
  • C. Sarah Morgan
    Sarah Morgan is a British comedy writer and performer known for her work on BBC Radio 4’s satirical sketch show "The Now Show."
  • D. Saffron Burrows
    Saffron Burrows is an English actress and former model known for her roles in films such as "The Bank Job" and "Deep Blue Sea," as well as television series like "Mozart in the Jungle" and "Agents of S.H.I.E.L.D."
  • E. Rowena Morgan
    Rowena Morgan is a talented young singer and student in the film "Mr. Holland's Opus," whose musical potential deeply inspires her teacher, Glenn Holland.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565f621c8190a52cda28237610e8 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05750ac81908860143f4ca26cc7 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.